Repository: oturns/geosnap (language: python)

Issue:
coverage reported incorrectly
locally, tests are covering ~65% of the lines, but [on codecov](https://app.codecov.io/gh/oturns/geosnap/tree/main/geosnap) its reported at 16% (the same thing is happening [over in tobler](https://app.codecov.io/gh/pysal/tobler).

I think it's some sort of path issue... in #398 it seems to be resolved by using `coverage run -m pytest ...` rather than `pytest ...`


Discussion / hints:

Fix patch:
diff --git a/.ci/310.yml b/.ci/310.yml
index 11b89ce0..919ba3ca 100644
--- a/.ci/310.yml
+++ b/.ci/310.yml
@@ -25,7 +25,8 @@ dependencies:
   - pyproj >=3
   - pandana
   - pooch
-  
+  - osmnx
+
   # testing
   - jupyter
   - pytest
diff --git a/.ci/311.yml b/.ci/311.yml
index 0444737a..9a934b83 100644
--- a/.ci/311.yml
+++ b/.ci/311.yml
@@ -25,6 +25,7 @@ dependencies:
   - pyproj >=3
   - pandana
   - pooch
+  - osmnx
 
   # testing
   - jupyter
diff --git a/.ci/312.yml b/.ci/312.yml
index 2ad55b76..29fdb737 100644
--- a/.ci/312.yml
+++ b/.ci/312.yml
@@ -25,6 +25,7 @@ dependencies:
   - pyproj >=3
   - pandana
   - pooch
+  - osmnx
 
   # testing
   - jupyter
diff --git a/docs/api.rst b/docs/api.rst
index aff85d2e..d2cc762d 100644
--- a/docs/api.rst
+++ b/docs/api.rst
@@ -82,6 +82,8 @@ Querying datasets
     io.get_ltdb
     io.get_nces
     io.get_ncdb
+    io.get_network_from_gdf
+    io.project_network
 
 
 Analyze Module
diff --git a/examples/service_areas.ipynb b/examples/service_areas.ipynb
new file mode 100644
index 00000000..7b305cad
--- /dev/null
+++ b/examples/service_areas.ipynb
@@ -0,0 +1,2216 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c0432e89-a35d-4af8-9a5f-38eac8ac17ad",
+   "metadata": {},
+   "source": [
+    "# Service Areas for Social Facilities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "712e15e2-88f5-46f2-86aa-a286f730f203",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:15.813754Z",
+     "iopub.status.busy": "2024-03-03T19:17:15.813445Z",
+     "iopub.status.idle": "2024-03-03T19:17:18.097297Z",
+     "shell.execute_reply": "2024-03-03T19:17:18.096987Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:15.813727Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "import osmnx as ox\n",
+    "import pandana as pdna\n",
+    "from geosnap import DataStore\n",
+    "from geosnap.analyze import isochrones_from_gdf\n",
+    "from geosnap.io import get_acs, get_network_from_gdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "fbb1603f-3fe6-477b-a281-1ad83b3d02ec",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:18.098373Z",
+     "iopub.status.busy": "2024-03-03T19:17:18.098285Z",
+     "iopub.status.idle": "2024-03-03T19:17:18.130282Z",
+     "shell.execute_reply": "2024-03-03T19:17:18.129969Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:18.098364Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Author: eli knaap\n",
+      "\n",
+      "Last updated: 2024-03-03\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.11.0\n",
+      "IPython version      : 8.18.1\n",
+      "\n",
+      "geopandas: 0.14.2\n",
+      "geosnap  : 0.12.1.dev9+g3a1cb0f6de61.d20240110\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext watermark\n",
+    "%watermark -a 'eli knaap' -v -d -u -p geopandas,geosnap\n",
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3adb24a6-d684-488e-9377-fe322612e3b0",
+   "metadata": {},
+   "source": [
+    "**Note this notebook requires osmnx**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "888709f5-3045-4a3d-a1c3-6a2921326473",
+   "metadata": {},
+   "source": [
+    "One way of thinking about isochrones is considering them as service areas. That is, given some travel budget (in time, distance, transit fare, etc), the isochrone represents the service area accessible within that budget."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7348587-da63-4770-88a8-113231478c4e",
+   "metadata": {},
+   "source": [
+    "Imagine we were interested in the service areas around social facilities in Syracuse"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "cbcc337a-5c8e-477e-965a-1ba61d569a53",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:18.130744Z",
+     "iopub.status.busy": "2024-03-03T19:17:18.130658Z",
+     "iopub.status.idle": "2024-03-03T19:17:18.156478Z",
+     "shell.execute_reply": "2024-03-03T19:17:18.156114Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:18.130735Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "datasets = DataStore()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "98ea96fe-b6b8-450d-9354-325388414e36",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:18.157024Z",
+     "iopub.status.busy": "2024-03-03T19:17:18.156932Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.459408Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.458948Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:18.157014Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tracts = get_acs(datasets, msa_fips=\"45060\", years=[2018], level=\"tract\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "8134ae2c-c8c8-4b0c-a158-89bc8e50ff97",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.486197Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.486120Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.747414Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.747068Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.486187Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "facilities = ox.features.features_from_polygon(\n",
+    "    tracts.unary_union, {\"amenity\": \"social_facility\"}\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "266801b5-9e7d-4350-bdbc-9f7c3c3cb341",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.748936Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.748847Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.773867Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.773604Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.748926Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "facilities = facilities[facilities.geometry.type == \"Point\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "83214cce-fd9b-4504-b0f1-35f01b922c1c",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.774391Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.774306Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.865498Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.865151Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.774382Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tracts = tracts.to_crs(tracts.estimate_utm_crs())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "6023cdc5-b125-4c44-9503-54a63fdc94f5",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.865915Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.865843Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.892041Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.891772Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.865907Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "facilities = facilities.to_crs(tracts.crs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "f88ee2d7-42dc-422d-ab37-9dbf70335231",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.892625Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.892538Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.927884Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.927603Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.892616Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
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+       "                        .foliumtooltip tr{\n",
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+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;\n",
+       "    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_5eeaabe303c712b56b5c0f754539e480&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;\n",
+       "    \n",
+       "    \n",
+       "            var map_5eeaabe303c712b56b5c0f754539e480 = L.map(\n",
+       "                &quot;map_5eeaabe303c712b56b5c0f754539e480&quot;,\n",
+       "                {\n",
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+       "                    zoom: 10,\n",
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+       "                    preferCanvas: false,\n",
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+       "            );\n",
+       "            L.control.scale().addTo(map_5eeaabe303c712b56b5c0f754539e480);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_254e49915f8789f60c1031bf3d0debd3 = L.tileLayer(\n",
+       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "            tile_layer_254e49915f8789f60c1031bf3d0debd3.addTo(map_5eeaabe303c712b56b5c0f754539e480);\n",
+       "        \n",
+       "    \n",
+       "            map_5eeaabe303c712b56b5c0f754539e480.fitBounds(\n",
+       "                [[42.798183900000005, -76.1643881], [43.1009868, -75.8399379]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_9228ed258d09d6e5e6e1c21b33ab1519_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;radius&quot;: 4, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_9228ed258d09d6e5e6e1c21b33ab1519_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_9228ed258d09d6e5e6e1c21b33ab1519_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_9228ed258d09d6e5e6e1c21b33ab1519_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_9228ed258d09d6e5e6e1c21b33ab1519_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_9228ed258d09d6e5e6e1c21b33ab1519.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_9228ed258d09d6e5e6e1c21b33ab1519_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_9228ed258d09d6e5e6e1c21b33ab1519 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_9228ed258d09d6e5e6e1c21b33ab1519_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_9228ed258d09d6e5e6e1c21b33ab1519_styler,\n",
+       "                pointToLayer: geo_json_9228ed258d09d6e5e6e1c21b33ab1519_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_9228ed258d09d6e5e6e1c21b33ab1519_add (data) {\n",
+       "            geo_json_9228ed258d09d6e5e6e1c21b33ab1519\n",
+       "                .addData(data);\n",
+       "        }\n",
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&quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: &quot;800 448 2300&quot;, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: &quot;315 437 9107&quot;, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;New Hope Family Services&quot;, &quot;name_1&quot;: &quot;New Hope Pregnancy Aid Center&quot;, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON125506&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: &quot;315 437 8300&quot;, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://www.newhopefamilyservices.com/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0915939, 43.09011509999999, -76.0915939, 43.09011509999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0915939, 43.09011509999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3915640070)&quot;, &quot;properties&quot;: {&quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: &quot;US&quot;, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;6590&quot;, &quot;addr:postcode&quot;: &quot;13206&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Thompson Road&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Syracuse Veterans Residential Program&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: &quot;Altamont Program&quot;, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;group_home&quot;, &quot;social_facility:for&quot;: &quot;veteran&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0558686, 43.1009868, -76.0558686, 43.1009868], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0558686, 43.1009868], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5209428227)&quot;, &quot;properties&quot;: {&quot;addr:city&quot;: &quot;East Syracuse&quot;, &quot;addr:country&quot;: &quot;US&quot;, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5000&quot;, &quot;addr:postcode&quot;: &quot;13057&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Brittonfield Parkway&quot;, &quot;addr:unit&quot;: &quot;A108&quot;, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: &quot;+1 315 437 0947&quot;, &quot;contact:phone&quot;: &quot;+1 315 437 0856&quot;, &quot;contact:website&quot;: &quot;http://www.laboratoryalliance.com/&quot;, &quot;description&quot;: &quot;They draw blood and take other samples from patients&quot;, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: &quot;laboratory&quot;, &quot;medical_system:western&quot;: &quot;yes&quot;, &quot;name&quot;: &quot;Laboratory Alliance of Central New York&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: &quot;Mo-Fr 08:00-12:15,13:00-16:30&quot;, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1500302, 43.07440339999999, -76.1500302, 43.07440339999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1500302, 43.07440339999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5274406790)&quot;, &quot;properties&quot;: {&quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: &quot;http://thegingerbreadhouseofsyracuse.com/&quot;, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: &quot;resurvey for better placement&quot;, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;The Gingerbread House Preschool and Day Care Center&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;day_care&quot;, &quot;social_facility:for&quot;: &quot;child&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0345673, 43.0633492, -76.0345673, 43.0633492], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0345673, 43.0633492], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 6511778409)&quot;, &quot;properties&quot;: {&quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Arc of Onondaga&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1643881, 43.0090133, -76.1643881, 43.0090133], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1643881, 43.0090133], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5373041972)&quot;, &quot;properties&quot;: {&quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5075&quot;, &quot;addr:postcode&quot;: &quot;13215&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;West Seneca Turnpike&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: &quot;513&quot;, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Van Duyn Center for Rehabilitation \\u0026 Nursing&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON057706&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: &quot;+1 315 449 6000&quot;, &quot;social_facility&quot;: &quot;nursing_home&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://vanduyncenter.com/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_9228ed258d09d6e5e6e1c21b33ab1519.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let aliases = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_9228ed258d09d6e5e6e1c21b33ab1519.addTo(map_5eeaabe303c712b56b5c0f754539e480);\n",
+       "        \n",
+       "&lt;/script&gt;\n",
+       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x288e50fd0>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "facilities.explore(style_kwds=dict(radius=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9aa50a33-6d41-48fc-9df8-aff79b6948c6",
+   "metadata": {},
+   "source": [
+    "## Walking Service Areas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "aac4eabd-8203-4744-8a5c-b6c805592493",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.928503Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.928420Z",
+     "iopub.status.idle": "2024-03-03T19:17:19.973483Z",
+     "shell.execute_reply": "2024-03-03T19:17:19.973106Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.928495Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0mget_network_from_gdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mgdf\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mnetwork_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'walk'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mtwoway\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0madd_travel_times\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mdefault_speeds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Create a pandana.Network object from a geodataframe (via OSMnx graph).\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "gdf : geopandas.GeoDataFrame\n",
+       "    dataframe covering the study area of interest; this should be stored in lat/long\n",
+       "    (epsg 4326). Note the first step is to take the unary union of this dataframe,\n",
+       "    which is expensive, so large dataframes may be time-consuming\n",
+       "network_type : str, {\"all_private\", \"all\", \"bike\", \"drive\", \"drive_service\", \"walk\"}\n",
+       "    the type of network to collect from OSM (passed to `osmnx.graph_from_polygon`)\n",
+       "    by default \"walk\"\n",
+       "twoway : bool, optional\n",
+       "    Whether to treat the pandana.Network as directed or undirected. For a directed network,\n",
+       "    use `twoway=False` (which is the default). For an undirected network (e.g. a\n",
+       "    walk network) where travel can flow in both directions, the network is more\n",
+       "    efficient when twoway=True. This has implications for drive networks or multimodal\n",
+       "    networks where impedance is different depending on travel direction.\n",
+       "add_travel_times : bool, default=False\n",
+       "    whether to use posted travel times from OSM as the impedance measure (rather\n",
+       "    than network-distance). Speeds are based on max drive speeds, see\n",
+       "    <https://osmnx.readthedocs.io/en/stable/internals-reference.html#osmnx-speed-module>\n",
+       "    for more information.\n",
+       "default_speeds : dict, optional\n",
+       "    default speeds passed assumed when no data available on the OSM edge. Defaults\n",
+       "    to  {\"residential\": 35, \"secondary\": 50, \"tertiary\": 60}. Only considered if\n",
+       "    add_travel_times is True\n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "pandana.Network\n",
+       "    a pandana.Network object with node coordinates stored in the same system as the\n",
+       "    input geodataframe\n",
+       "\n",
+       "Raises\n",
+       "------\n",
+       "ImportError\n",
+       "    requires `osmnx`, raises if module not available\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/Dropbox/projects/geosnap/geosnap/io/networkio.py\n",
+       "\u001b[0;31mType:\u001b[0m      function"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "get_network_from_gdf?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "2612c668-74fa-4995-8cf7-fe18d6e48895",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:19.973973Z",
+     "iopub.status.busy": "2024-03-03T19:17:19.973888Z",
+     "iopub.status.idle": "2024-03-03T19:17:59.556353Z",
+     "shell.execute_reply": "2024-03-03T19:17:59.556045Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:19.973964Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/knaaptime/Dropbox/projects/geosnap/geosnap/io/networkio.py:68: UserWarning: GeoDataFrame is stored in coordinate system EPSG:32618 so the pandana.Network will also be stored in this system\n",
+      "  warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Generating contraction hierarchies with 10 threads.\n",
+      "Setting CH node vector of size 86033\n",
+      "Setting CH edge vector of size 226066\n",
+      "Range graph removed 216738 edges of 452132\n",
+      ". 10% . 20% . 30% . 40% . 50% . 60% . 70% . 80% . 90% . 100%\n"
+     ]
+    }
+   ],
+   "source": [
+    "walk_net = get_network_from_gdf(tracts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "4bcc1d3f-16f1-4b6c-9396-b568d330c9ed",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:59.556936Z",
+     "iopub.status.busy": "2024-03-03T19:17:59.556858Z",
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+     "shell.execute_reply": "2024-03-03T19:17:59.586669Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:59.556927Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\u001b[0;31mSignature:\u001b[0m\n",
+       "\u001b[0misochrones_from_gdf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0morigins\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mthreshold\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mnetwork\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mnetwork_crs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mreindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mhull\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'shapely'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mratio\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m    \u001b[0mallow_holes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
+       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+       "\u001b[0;31mDocstring:\u001b[0m\n",
+       "Create travel isochrones for several origins simultaneously\n",
+       "\n",
+       "Parameters\n",
+       "----------\n",
+       "origins : geopandas.GeoDataFrame\n",
+       "    a geodataframe containing the locations of origin point features\n",
+       "threshold: float\n",
+       "    maximum travel distance to define the isochrone, measured in the same\n",
+       "    units as edges_df in the pandana.Network object. If the network was\n",
+       "    created with pandana this is usually meters; if it was created with\n",
+       "    urbanaccess this is usually travel time in minutes.\n",
+       "network : pandana.Network\n",
+       "    pandana Network instance for calculating the shortest path isochrone\n",
+       "    for each origin feature\n",
+       "network_crs : str, int, pyproj.CRS (optional)\n",
+       "    the coordinate system used to store x and y coordinates in the passed\n",
+       "    pandana network. If None, the network is assumed to be stored in the \n",
+       "    same CRS as the origins geodataframe\n",
+       "reindex : bool\n",
+       "    if True, use the dataframe index as the origin and destination IDs\n",
+       "    (rather than the node_ids of the pandana.Network). Default is True\n",
+       "hull : str, {'libpysal', 'shapely'}\n",
+       "    Which method to generate container polygons (concave hulls) for destination\n",
+       "    points. If 'libpysal', use `libpysal.cg.alpha_shape_auto` to create the\n",
+       "    concave hull, else if 'shapely', use  `shapely.concave_hull`.\n",
+       "    Default is libpysal\n",
+       "ratio : float\n",
+       "    ratio keyword passed to `shapely.concave_hull`. Only used if\n",
+       "    `hull='shapely'`. Default is 0.3\n",
+       "allow_holes : bool\n",
+       "    keyword passed to `shapely.concave_hull` governing  whether holes are\n",
+       "    allowed in the resulting polygon. Only used if `hull='shapely'`.\n",
+       "    Default is False.\n",
+       "\n",
+       "Returns\n",
+       "-------\n",
+       "GeoPandas.DataFrame\n",
+       "    polygon geometries with the isochrones for each origin point feature\n",
+       "\u001b[0;31mFile:\u001b[0m      ~/Dropbox/projects/geosnap/geosnap/analyze/network.py\n",
+       "\u001b[0;31mType:\u001b[0m      function"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "isochrones_from_gdf?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d752ab84-68e3-4b93-8fbe-cc367d23f5ec",
+   "metadata": {},
+   "source": [
+    "### Comparing Hull algorithms"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31257953-1dab-4f42-8864-ddae25aa237e",
+   "metadata": {},
+   "source": [
+    "To create the service area, we need to bound the set of reachable intersections using some kind of polygon. The resolution of the service area is dependent on the resolution of the network (i.e. since geosnap and pandana do not interpolate along the road network, greater intersection density will result in a more well-defined polygon).\n",
+    "\n",
+    "There are different bounding-polygon algorithms to choose from. The default is shapely's [`concave_hull`](https://shapely.readthedocs.io/en/stable/reference/shapely.concave_hull.html) implementation, with the [alpha_shape_auto](https://pysal.org/libpysal/generated/libpysal.cg.alpha_shape_auto.html) algorithm from libpysal available as an alternative"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "12dd3dde-bf04-41b2-9361-3da988c7cc46",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:17:59.587751Z",
+     "iopub.status.busy": "2024-03-03T19:17:59.587658Z",
+     "iopub.status.idle": "2024-03-03T19:18:03.091784Z",
+     "shell.execute_reply": "2024-03-03T19:18:03.091266Z",
+     "shell.execute_reply.started": "2024-03-03T19:17:59.587742Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "alpha = isochrones_from_gdf(\n",
+    "    facilities, network=walk_net, threshold=2000, hull=\"libpysal\"\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd02ebbc-307f-4d2c-9ca1-7488150843b7",
+   "metadata": {},
+   "source": [
+    "The alpha shape version of the concave hull is the most resource intensive because it tries to optimize the alpha parameter. This also makes it the slowest."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "e3b5642c-c3a9-4075-b5ff-224104133e2d",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:03.092450Z",
+     "iopub.status.busy": "2024-03-03T19:18:03.092367Z",
+     "iopub.status.idle": "2024-03-03T19:18:03.139024Z",
+     "shell.execute_reply": "2024-03-03T19:18:03.138756Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:03.092441Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
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+       "&lt;body&gt;\n",
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+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;\n",
+       "    \n",
+       "    \n",
+       "            var map_02f81bae4930791c5190fddc1e8bf72b = L.map(\n",
+       "                &quot;map_02f81bae4930791c5190fddc1e8bf72b&quot;,\n",
+       "                {\n",
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+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_9fe0585e9b35ed49e6ad3ea86906d93e = L.tileLayer(\n",
+       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "            tile_layer_9fe0585e9b35ed49e6ad3ea86906d93e.addTo(map_02f81bae4930791c5190fddc1e8bf72b);\n",
+       "        \n",
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+       "            map_02f81bae4930791c5190fddc1e8bf72b.fitBounds(\n",
+       "                [[42.7841871, -76.185239], [43.1149436, -75.82036400000001]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_4572e899cf665a1583a6f06b08d20d3a_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_4572e899cf665a1583a6f06b08d20d3a_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_4572e899cf665a1583a6f06b08d20d3a_pointToLayer(feature, latlng) {\n",
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+       "            \n",
+       "            let style = geo_json_4572e899cf665a1583a6f06b08d20d3a_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_4572e899cf665a1583a6f06b08d20d3a_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_4572e899cf665a1583a6f06b08d20d3a.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
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+       "                        const highlightStyle = geo_json_4572e899cf665a1583a6f06b08d20d3a_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_4572e899cf665a1583a6f06b08d20d3a = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_4572e899cf665a1583a6f06b08d20d3a_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_4572e899cf665a1583a6f06b08d20d3a_styler,\n",
+       "                pointToLayer: geo_json_4572e899cf665a1583a6f06b08d20d3a_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_4572e899cf665a1583a6f06b08d20d3a_add (data) {\n",
+       "            geo_json_4572e899cf665a1583a6f06b08d20d3a\n",
+       "                .addData(data);\n",
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[-76.16357800000002, 43.015327699999986], [-76.1633578, 43.014504099999996], [-76.1629737, 43.01315569999999], [-76.1637493, 43.009118300000004], [-76.1636403, 43.00869480000001], [-76.1631221, 43.007283300000005]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;13&quot;, &quot;properties&quot;: {&quot;distance&quot;: 2000, &quot;origin&quot;: [&quot;node&quot;, 5373041972]}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_4572e899cf665a1583a6f06b08d20d3a.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let aliases = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_4572e899cf665a1583a6f06b08d20d3a.addTo(map_02f81bae4930791c5190fddc1e8bf72b);\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_51a09968b8446d9cb689d77cd6a63636_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;color&quot;: &quot;black&quot;, &quot;fillColor&quot;: &quot;black&quot;, &quot;fillOpacity&quot;: 0.5, &quot;radius&quot;: 3, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_51a09968b8446d9cb689d77cd6a63636_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_51a09968b8446d9cb689d77cd6a63636_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_51a09968b8446d9cb689d77cd6a63636_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_51a09968b8446d9cb689d77cd6a63636_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_51a09968b8446d9cb689d77cd6a63636.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_51a09968b8446d9cb689d77cd6a63636_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_51a09968b8446d9cb689d77cd6a63636 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_51a09968b8446d9cb689d77cd6a63636_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_51a09968b8446d9cb689d77cd6a63636_styler,\n",
+       "                pointToLayer: geo_json_51a09968b8446d9cb689d77cd6a63636_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_51a09968b8446d9cb689d77cd6a63636_add (data) {\n",
+       "            geo_json_51a09968b8446d9cb689d77cd6a63636\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_51a09968b8446d9cb689d77cd6a63636_add({&quot;bbox&quot;: [-76.1643881, 42.798183900000005, -75.8399379, 43.1009868], &quot;features&quot;: [{&quot;bbox&quot;: [-75.85107700000002, 42.92425789999999, -75.85107700000002, 42.92425789999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.85107700000002, 42.92425789999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3777088022)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, 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&quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: &quot;Altamont Program&quot;, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;group_home&quot;, &quot;social_facility:for&quot;: &quot;veteran&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0558686, 43.1009868, -76.0558686, 43.1009868], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0558686, 43.1009868], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5209428227)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;East Syracuse&quot;, &quot;addr:country&quot;: &quot;US&quot;, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5000&quot;, &quot;addr:postcode&quot;: &quot;13057&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Brittonfield Parkway&quot;, &quot;addr:unit&quot;: &quot;A108&quot;, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: &quot;+1 315 437 0947&quot;, &quot;contact:phone&quot;: &quot;+1 315 437 0856&quot;, &quot;contact:website&quot;: &quot;http://www.laboratoryalliance.com/&quot;, &quot;description&quot;: &quot;They draw blood and take other samples from patients&quot;, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: &quot;laboratory&quot;, &quot;medical_system:western&quot;: &quot;yes&quot;, &quot;name&quot;: &quot;Laboratory Alliance of Central New York&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: &quot;Mo-Fr 08:00-12:15,13:00-16:30&quot;, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1500302, 43.07440339999999, -76.1500302, 43.07440339999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1500302, 43.07440339999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5274406790)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: &quot;http://thegingerbreadhouseofsyracuse.com/&quot;, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: &quot;resurvey for better placement&quot;, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;The Gingerbread House Preschool and Day Care Center&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;day_care&quot;, &quot;social_facility:for&quot;: &quot;child&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0345673, 43.0633492, -76.0345673, 43.0633492], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0345673, 43.0633492], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 6511778409)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Arc of Onondaga&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1643881, 43.0090133, -76.1643881, 43.0090133], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1643881, 43.0090133], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5373041972)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5075&quot;, &quot;addr:postcode&quot;: &quot;13215&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;West Seneca Turnpike&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: &quot;513&quot;, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Van Duyn Center for Rehabilitation \\u0026 Nursing&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON057706&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: &quot;+1 315 449 6000&quot;, &quot;social_facility&quot;: &quot;nursing_home&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://vanduyncenter.com/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_51a09968b8446d9cb689d77cd6a63636.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let aliases = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_51a09968b8446d9cb689d77cd6a63636.addTo(map_02f81bae4930791c5190fddc1e8bf72b);\n",
+       "        \n",
+       "&lt;/script&gt;\n",
+       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x2a7a91f90>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "m = alpha.explore()\n",
+    "facilities.explore(m=m, color=\"black\", style_kwds=dict(radius=3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "6163f3ba-0c3a-4eaf-b5f9-d8769bb7df56",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:03.139559Z",
+     "iopub.status.busy": "2024-03-03T19:18:03.139471Z",
+     "iopub.status.idle": "2024-03-03T19:18:03.749336Z",
+     "shell.execute_reply": "2024-03-03T19:18:03.748985Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:03.139551Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ch01 = isochrones_from_gdf(\n",
+    "    facilities, network=walk_net, threshold=2000, hull=\"shapely\", ratio=0.1\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c5350ba-d90e-4197-817a-c6493b50d434",
+   "metadata": {},
+   "source": [
+    "The concave hull algorithm in shapely does not do automatic optimization, but requires setting a `ratio` parameter, with smaller values resulting in tighter bounding polygons. If the ratio parameter is set too low, the bounding polygon can be *too* tight"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "3fa6886b-5cb4-4f9e-b47c-f70c09c2e685",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:03.749830Z",
+     "iopub.status.busy": "2024-03-03T19:18:03.749747Z",
+     "iopub.status.idle": "2024-03-03T19:18:03.799923Z",
+     "shell.execute_reply": "2024-03-03T19:18:03.799638Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:03.749820Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;html&gt;\n",
+       "&lt;head&gt;\n",
+       "    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_88e814068ae0f11f3f1a429c61576878 {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "                .leaflet-container { font-size: 1rem; }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;\n",
+       "    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_88e814068ae0f11f3f1a429c61576878&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;\n",
+       "    \n",
+       "    \n",
+       "            var map_88e814068ae0f11f3f1a429c61576878 = L.map(\n",
+       "                &quot;map_88e814068ae0f11f3f1a429c61576878&quot;,\n",
+       "                {\n",
+       "                    center: [42.94956535, -76.0028015],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_88e814068ae0f11f3f1a429c61576878);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_3c3f12a001e5bf95fad3243a60c1b581 = L.tileLayer(\n",
+       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "            tile_layer_3c3f12a001e5bf95fad3243a60c1b581.addTo(map_88e814068ae0f11f3f1a429c61576878);\n",
+       "        \n",
+       "    \n",
+       "            map_88e814068ae0f11f3f1a429c61576878.fitBounds(\n",
+       "                [[42.7841871, -76.185239], [43.1149436, -75.82036400000001]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_87744788ae170eb0826ccf415067667a_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_87744788ae170eb0826ccf415067667a_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_87744788ae170eb0826ccf415067667a_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_87744788ae170eb0826ccf415067667a_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_87744788ae170eb0826ccf415067667a_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_87744788ae170eb0826ccf415067667a.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_87744788ae170eb0826ccf415067667a_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_87744788ae170eb0826ccf415067667a = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_87744788ae170eb0826ccf415067667a_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_87744788ae170eb0826ccf415067667a_styler,\n",
+       "                pointToLayer: geo_json_87744788ae170eb0826ccf415067667a_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_87744788ae170eb0826ccf415067667a_add (data) {\n",
+       "            geo_json_87744788ae170eb0826ccf415067667a\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_87744788ae170eb0826ccf415067667a_add({&quot;bbox&quot;: [-76.185239, 42.7841871, -75.82036400000001, 43.1149436], &quot;features&quot;: [{&quot;bbox&quot;: [-75.8696339, 42.90738809999999, -75.83494, 42.9409705], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-75.855833, 42.939468000000005], [-75.8558448, 42.9409705], [-75.851692, 42.939408], [-75.849103, 42.93877], [-75.847795, 42.94087700000001], [-75.848022, 42.938159999999996], [-75.845634, 42.937755], [-75.845287, 42.935677999999996], [-75.84471, 42.93546899999998], [-75.8421154, 42.9370999], [-75.843829, 42.93506399999999], [-75.842386, 42.933572], [-75.84466, 42.933597999999996], [-75.844525, 42.93182699999999], [-75.843043, 42.93100799999999], [-75.840863, 42.930347999999995], [-75.840479, 42.92987099999999], [-75.8402662, 42.9295845], [-75.8399078, 42.9284906], [-75.8409291, 42.92647300000001], [-75.8402358, 42.925407], [-75.8383002, 42.92499469999999], [-75.8362282, 42.923421099999985], 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42.9153521], [-75.8448343, 42.91482080000001], [-75.8425783, 42.9139253], [-75.8413284, 42.91217170000001], [-75.8411119, 42.91146539999999], [-75.841062, 42.90944199999999], [-75.842099, 42.90905099999999], [-75.8424433, 42.9114096], [-75.8431249, 42.912406600000004], [-75.8464491, 42.91172379999999], [-75.845947, 42.909889], [-75.8476305, 42.90738809999999], [-75.84760900000002, 42.90990099999999], [-75.847596, 42.911283], [-75.8476109, 42.912342699999996], [-75.8442584, 42.9130369], [-75.8453825, 42.9146397], [-75.846181, 42.9149982], [-75.8470129, 42.9180304], [-75.847504, 42.918703999999984], [-75.8484213, 42.9200208], [-75.8510138, 42.920936], [-75.853299, 42.919739], [-75.8517944, 42.9211005], [-75.8521203, 42.9233588], [-75.8535426, 42.9261163], [-75.855156, 42.92773609999999], [-75.8563039, 42.92758899999999], [-75.8573745, 42.92740119999999], [-75.859421, 42.92742679999999], [-75.8606773, 42.926259800000004], [-75.86059370000001, 42.9239024], [-75.8626729, 42.9199723], 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+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_87744788ae170eb0826ccf415067667a.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let aliases = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_87744788ae170eb0826ccf415067667a.addTo(map_88e814068ae0f11f3f1a429c61576878);\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_796bde1f098db7f133e195a356784c4b_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;color&quot;: &quot;black&quot;, &quot;fillColor&quot;: &quot;black&quot;, &quot;fillOpacity&quot;: 0.5, &quot;radius&quot;: 3, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_796bde1f098db7f133e195a356784c4b_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_796bde1f098db7f133e195a356784c4b_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_796bde1f098db7f133e195a356784c4b_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_796bde1f098db7f133e195a356784c4b_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_796bde1f098db7f133e195a356784c4b.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_796bde1f098db7f133e195a356784c4b_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_796bde1f098db7f133e195a356784c4b = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_796bde1f098db7f133e195a356784c4b_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_796bde1f098db7f133e195a356784c4b_styler,\n",
+       "                pointToLayer: geo_json_796bde1f098db7f133e195a356784c4b_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_796bde1f098db7f133e195a356784c4b_add (data) {\n",
+       "            geo_json_796bde1f098db7f133e195a356784c4b\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_796bde1f098db7f133e195a356784c4b_add({&quot;bbox&quot;: [-76.1643881, 42.798183900000005, -75.8399379, 43.1009868], &quot;features&quot;: [{&quot;bbox&quot;: [-75.85107700000002, 42.92425789999999, -75.85107700000002, 42.92425789999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.85107700000002, 42.92425789999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3777088022)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;American Legion Post 88&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://cazlegion.wordpress.com/programs/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-75.8399379, 42.92619559999999, -75.8399379, 42.92619559999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.8399379, 42.92619559999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3784068581)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Cazenovia&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;101&quot;, &quot;addr:postcode&quot;: &quot;13035&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Nelson Street&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Caz Cares&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;food_bank&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://cazcares.org/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1494727, 43.04760799999999, -76.1494727, 43.04760799999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1494727, 43.04760799999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3897608818)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: &quot;101;104;201-204;302-304;401;403;504-505;601-602;605&quot;, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;330&quot;, &quot;addr:postcode&quot;: &quot;13202&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Montgomery Street&quot;, &quot;addr:unit&quot;: null, 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{&quot;bbox&quot;: [-76.1500302, 43.07440339999999, -76.1500302, 43.07440339999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1500302, 43.07440339999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5274406790)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: &quot;http://thegingerbreadhouseofsyracuse.com/&quot;, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: &quot;resurvey for better placement&quot;, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;The Gingerbread House Preschool and Day Care Center&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;day_care&quot;, &quot;social_facility:for&quot;: &quot;child&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.0345673, 43.0633492, -76.0345673, 43.0633492], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.0345673, 43.0633492], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 6511778409)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Arc of Onondaga&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1643881, 43.0090133, -76.1643881, 43.0090133], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1643881, 43.0090133], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5373041972)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5075&quot;, &quot;addr:postcode&quot;: &quot;13215&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;West Seneca Turnpike&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: &quot;513&quot;, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Van Duyn Center for Rehabilitation \\u0026 Nursing&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON057706&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: &quot;+1 315 449 6000&quot;, &quot;social_facility&quot;: &quot;nursing_home&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://vanduyncenter.com/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_796bde1f098db7f133e195a356784c4b.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let aliases = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_796bde1f098db7f133e195a356784c4b.addTo(map_88e814068ae0f11f3f1a429c61576878);\n",
+       "        \n",
+       "&lt;/script&gt;\n",
+       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x2a207f190>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "m = ch01.explore()\n",
+    "facilities.explore(m=m, color=\"black\", style_kwds=dict(radius=3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "563a0adc-ab89-4ae9-9a7d-a8e7ed007d1c",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:03.800334Z",
+     "iopub.status.busy": "2024-03-03T19:18:03.800262Z",
+     "iopub.status.idle": "2024-03-03T19:18:04.041540Z",
+     "shell.execute_reply": "2024-03-03T19:18:04.041190Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:03.800326Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ch02 = isochrones_from_gdf(\n",
+    "    facilities, network=walk_net, threshold=2000, hull=\"shapely\", ratio=0.2\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "9332b24d-cbc3-4ddd-a958-868796a3ed35",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:04.042307Z",
+     "iopub.status.busy": "2024-03-03T19:18:04.042216Z",
+     "iopub.status.idle": "2024-03-03T19:18:04.089219Z",
+     "shell.execute_reply": "2024-03-03T19:18:04.088971Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:04.042298Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;html&gt;\n",
+       "&lt;head&gt;\n",
+       "    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_5fc431cd3e3bf499fbb30d0f642acade {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "                .leaflet-container { font-size: 1rem; }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;\n",
+       "    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_5fc431cd3e3bf499fbb30d0f642acade&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;\n",
+       "    \n",
+       "    \n",
+       "            var map_5fc431cd3e3bf499fbb30d0f642acade = L.map(\n",
+       "                &quot;map_5fc431cd3e3bf499fbb30d0f642acade&quot;,\n",
+       "                {\n",
+       "                    center: [42.94956535, -76.0028015],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_5fc431cd3e3bf499fbb30d0f642acade);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_c046bc27b1852e92ec3537f33a8bab6b = L.tileLayer(\n",
+       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "            tile_layer_c046bc27b1852e92ec3537f33a8bab6b.addTo(map_5fc431cd3e3bf499fbb30d0f642acade);\n",
+       "        \n",
+       "    \n",
+       "            map_5fc431cd3e3bf499fbb30d0f642acade.fitBounds(\n",
+       "                [[42.7841871, -76.185239], [43.1149436, -75.82036400000001]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_106fa8983d8eb05eee9c417b6557f242_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_106fa8983d8eb05eee9c417b6557f242_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_106fa8983d8eb05eee9c417b6557f242_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_106fa8983d8eb05eee9c417b6557f242_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_106fa8983d8eb05eee9c417b6557f242_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_106fa8983d8eb05eee9c417b6557f242.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_106fa8983d8eb05eee9c417b6557f242_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_106fa8983d8eb05eee9c417b6557f242 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_106fa8983d8eb05eee9c417b6557f242_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_106fa8983d8eb05eee9c417b6557f242_styler,\n",
+       "                pointToLayer: geo_json_106fa8983d8eb05eee9c417b6557f242_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_106fa8983d8eb05eee9c417b6557f242_add (data) {\n",
+       "            geo_json_106fa8983d8eb05eee9c417b6557f242\n",
+       "                .addData(data);\n",
+       "        }\n",
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+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_106fa8983d8eb05eee9c417b6557f242.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let aliases = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_106fa8983d8eb05eee9c417b6557f242.addTo(map_5fc431cd3e3bf499fbb30d0f642acade);\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_858d7be4c0f8002648b32e9136095258_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;color&quot;: &quot;black&quot;, &quot;fillColor&quot;: &quot;black&quot;, &quot;fillOpacity&quot;: 0.5, &quot;radius&quot;: 3, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_858d7be4c0f8002648b32e9136095258_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_858d7be4c0f8002648b32e9136095258_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_858d7be4c0f8002648b32e9136095258_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_858d7be4c0f8002648b32e9136095258_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_858d7be4c0f8002648b32e9136095258.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_858d7be4c0f8002648b32e9136095258_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_858d7be4c0f8002648b32e9136095258 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_858d7be4c0f8002648b32e9136095258_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_858d7be4c0f8002648b32e9136095258_styler,\n",
+       "                pointToLayer: geo_json_858d7be4c0f8002648b32e9136095258_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_858d7be4c0f8002648b32e9136095258_add (data) {\n",
+       "            geo_json_858d7be4c0f8002648b32e9136095258\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_858d7be4c0f8002648b32e9136095258_add({&quot;bbox&quot;: [-76.1643881, 42.798183900000005, -75.8399379, 43.1009868], &quot;features&quot;: [{&quot;bbox&quot;: [-75.85107700000002, 42.92425789999999, -75.85107700000002, 42.92425789999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.85107700000002, 42.92425789999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3777088022)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: null, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: null, &quot;addr:postcode&quot;: null, &quot;addr:state&quot;: null, &quot;addr:street&quot;: null, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;American Legion Post 88&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: null, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://cazlegion.wordpress.com/programs/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-75.8399379, 42.92619559999999, -75.8399379, 42.92619559999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.8399379, 42.92619559999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3784068581)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Cazenovia&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;101&quot;, &quot;addr:postcode&quot;: &quot;13035&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Nelson Street&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Caz Cares&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;food_bank&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://cazcares.org/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.1494727, 43.04760799999999, -76.1494727, 43.04760799999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1494727, 43.04760799999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3897608818)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: &quot;101;104;201-204;302-304;401;403;504-505;601-602;605&quot;, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;330&quot;, &quot;addr:postcode&quot;: &quot;13202&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Montgomery Street&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: &quot;my GPS said I was on the other side of the street because of building interference so if this can be resurveyed with better equipment that would be good&quot;, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;YMCA Senior Citizen Apartments&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON204854;ONON205015;ONON205049;ONON204897;ONON204911;ONON204838;ONON086394;ONON204831;ONON204943;ONON204926;ONON204805;ONON204991;ONON204822;ONON205000;ONON204896;ONON205072;ONON204971&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: &quot;YMCA&quot;, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;group_home&quot;, &quot;social_facility:for&quot;: &quot;senior&quot;, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: null, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-76.16073570000002, 43.0431537, -76.16073570000002, 43.0431537], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.16073570000002, 43.0431537], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3908901115)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;405&quot;, &quot;addr:postcode&quot;: &quot;13204&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Gifford Street&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: &quot;resurvey for better placement, to make sure that social_facility=outreach is the best tag, \\u0026 for Spanish name&quot;, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Huntington Family Center&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: 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-76.1643881, 43.0090133], &quot;geometry&quot;: {&quot;coordinates&quot;: [-76.1643881, 43.0090133], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 5373041972)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Syracuse&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;5075&quot;, &quot;addr:postcode&quot;: &quot;13215&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;West Seneca Turnpike&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: &quot;513&quot;, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Van Duyn Center for Rehabilitation \\u0026 Nursing&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: &quot;ONON057706&quot;, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: &quot;+1 315 449 6000&quot;, &quot;social_facility&quot;: &quot;nursing_home&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://vanduyncenter.com/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_858d7be4c0f8002648b32e9136095258.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let aliases = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_858d7be4c0f8002648b32e9136095258.addTo(map_5fc431cd3e3bf499fbb30d0f642acade);\n",
+       "        \n",
+       "&lt;/script&gt;\n",
+       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x288bd57d0>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "m = ch02.explore()\n",
+    "facilities.explore(m=m, color=\"black\", style_kwds=dict(radius=3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f192ae22-dbfe-465a-9a32-c030f5b79507",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "044b35bc-90d9-4ddd-bc5f-47f48d6822c1",
+   "metadata": {},
+   "source": [
+    "## Driving Service Areas"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1d343dd-a915-41ba-a1e2-55e55063663e",
+   "metadata": {},
+   "source": [
+    "Be *very* careful with driving times... There are lots of edges with no speed information (requiring us to make strong assumptions), and even at best, these represent free-flow conditions."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d82fc40c-e049-4c46-8923-f912d991c924",
+   "metadata": {},
+   "source": [
+    "To get an automobile network, change  `network_type='drive'` and  `add_travel_times=True`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "c55fb18f-d2fa-4d22-8068-d7fe8ac694e2",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:04.089794Z",
+     "iopub.status.busy": "2024-03-03T19:18:04.089705Z",
+     "iopub.status.idle": "2024-03-03T19:18:23.588691Z",
+     "shell.execute_reply": "2024-03-03T19:18:23.588381Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:04.089785Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/knaaptime/Dropbox/projects/geosnap/geosnap/io/networkio.py:68: UserWarning: GeoDataFrame is stored in coordinate system EPSG:32618 so the pandana.Network will also be stored in this system\n",
+      "  warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Generating contraction hierarchies with 10 threads.\n",
+      "Setting CH node vector of size 24608\n",
+      "Setting CH edge vector of size 65928\n",
+      "Range graph removed 65088 edges of 131856\n",
+      ". 10% . 20% . 30% . 40% . 50% . 60% . 70% . 80% . 90% . 100%\n"
+     ]
+    }
+   ],
+   "source": [
+    "drive_net = get_network_from_gdf(tracts, network_type=\"drive\", add_travel_times=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c23b3be-b031-44fa-a6bf-98f865910c23",
+   "metadata": {},
+   "source": [
+    "When using travel-time based impedance, travel times are [measured **in seconds**](https://osmnx.readthedocs.io/en/stable/internals-reference.html#osmnx-speed-module)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "2a29cc3f-af7d-4d91-8ec5-f83d3e922440",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:23.589173Z",
+     "iopub.status.busy": "2024-03-03T19:18:23.589100Z",
+     "iopub.status.idle": "2024-03-03T19:18:23.943820Z",
+     "shell.execute_reply": "2024-03-03T19:18:23.943350Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:23.589164Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# 10 minute drive-shed\n",
+    "\n",
+    "drive_chrone = isochrones_from_gdf(\n",
+    "    facilities, network=drive_net, threshold=600, ratio=0.2\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "65dd0fb6-593c-49a9-8340-f19797ef4a51",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:23.948123Z",
+     "iopub.status.busy": "2024-03-03T19:18:23.947923Z",
+     "iopub.status.idle": "2024-03-03T19:18:23.991151Z",
+     "shell.execute_reply": "2024-03-03T19:18:23.990692Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:23.948103Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/knaaptime/mambaforge/envs/geosnap/lib/python3.11/site-packages/pyproj/transformer.py:820: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n",
+      "  return self._transformer._transform_point(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;html&gt;\n",
+       "&lt;head&gt;\n",
+       "    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_8919fb6c4c816c9a1ec7a0e834a26d44 {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "                .leaflet-container { font-size: 1rem; }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;\n",
+       "    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_8919fb6c4c816c9a1ec7a0e834a26d44&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;\n",
+       "    \n",
+       "    \n",
+       "            var map_8919fb6c4c816c9a1ec7a0e834a26d44 = L.map(\n",
+       "                &quot;map_8919fb6c4c816c9a1ec7a0e834a26d44&quot;,\n",
+       "                {\n",
+       "                    center: [42.933221499999995, -75.82459850000001],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_8919fb6c4c816c9a1ec7a0e834a26d44);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_bc66541222811b084c4010e5466acf37 = L.tileLayer(\n",
+       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 19, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "            tile_layer_bc66541222811b084c4010e5466acf37.addTo(map_8919fb6c4c816c9a1ec7a0e834a26d44);\n",
+       "        \n",
+       "    \n",
+       "            map_8919fb6c4c816c9a1ec7a0e834a26d44.fitBounds(\n",
+       "                [[42.84316299999999, -75.980179], [43.02328, -75.669018]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_c6849d18d6a7d949528fbc6d5e265b8a_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_c6849d18d6a7d949528fbc6d5e265b8a_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_c6849d18d6a7d949528fbc6d5e265b8a_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_c6849d18d6a7d949528fbc6d5e265b8a_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_c6849d18d6a7d949528fbc6d5e265b8a_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_c6849d18d6a7d949528fbc6d5e265b8a.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_c6849d18d6a7d949528fbc6d5e265b8a_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_c6849d18d6a7d949528fbc6d5e265b8a = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_c6849d18d6a7d949528fbc6d5e265b8a_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_c6849d18d6a7d949528fbc6d5e265b8a_styler,\n",
+       "                pointToLayer: geo_json_c6849d18d6a7d949528fbc6d5e265b8a_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_c6849d18d6a7d949528fbc6d5e265b8a_add (data) {\n",
+       "            geo_json_c6849d18d6a7d949528fbc6d5e265b8a\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_c6849d18d6a7d949528fbc6d5e265b8a_add({&quot;bbox&quot;: [-75.980179, 42.84316299999999, -75.669018, 43.02328], &quot;features&quot;: [{&quot;bbox&quot;: [-75.980179, 42.84316299999999, -75.669018, 43.02328], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-75.940701, 42.982178999999995], [-75.940805, 42.98389389999999], [-75.934707, 42.98525899999999], [-75.918127, 42.978795999999996], [-75.9023, 42.976746999999996], [-75.885098, 42.990117999999995], [-75.883661, 42.992689], [-75.881798, 42.98901500000001], [-75.8620157, 42.981226], [-75.843994, 42.99370999999999], [-75.846144, 42.99956], [-75.846411, 43.000612999999994], [-75.848508, 43.01141599999999], [-75.858442, 43.02328], [-75.829895, 43.006848999999995], [-75.8333771, 42.9977068], [-75.816634, 42.984336], [-75.803, 42.969327], [-75.786889, 42.980627999999996], [-75.786898, 42.981002], [-75.764484, 42.969138], [-75.765052, 42.958977], [-75.75490500000001, 42.94689799999998], [-75.754948, 42.94409900000001], [-75.764579, 42.941759999999995], [-75.777113, 42.93138], [-75.7566163, 42.92217689999999], [-75.746832, 42.921989999999994], [-75.732211, 42.912719999999986], [-75.72449, 42.912023999999995], [-75.710965, 42.92736399999999], [-75.712741, 42.932930000000006], [-75.711478, 42.930906], [-75.693376, 42.910088], [-75.69161, 42.909426], [-75.690715, 42.90909699999999], [-75.689599, 42.908676], [-75.677644, 42.905786], [-75.67117, 42.904527], [-75.670357, 42.904205999999995], [-75.669018, 42.903682], [-75.669069, 42.90352899999999], [-75.677667, 42.90564], [-75.697361, 42.90342600000001], [-75.710782, 42.90193699999999], [-75.720023, 42.901377000000004], [-75.720329, 42.901438000000006], [-75.723796, 42.90198299999999], [-75.745158, 42.89914300000001], [-75.762199, 42.898819999999986], [-75.7720764, 42.886623199999995], [-75.761078, 42.87645500000001], [-75.762605, 42.86512700000001], [-75.7845367, 42.8753982], [-75.7885246, 42.8780427], [-75.7925335, 42.8802504], [-75.8013019, 42.8829709], [-75.8123975, 42.8854462], [-75.826159, 42.873551], [-75.847823, 42.873163999999996], [-75.85475, 42.869382], [-75.8551027, 42.8499183], [-75.853401, 42.848259000000006], [-75.86252300000001, 42.84316299999999], [-75.881631, 42.84711699999999], [-75.8878302, 42.860459099999986], [-75.904284, 42.87047299999999], [-75.913432, 42.876177], [-75.913715, 42.879780999999994], [-75.913747, 42.880277], [-75.914622, 42.890412999999995], [-75.915505, 42.900311], [-75.937222, 42.910138999999994], [-75.972707, 42.920724], [-75.979973, 42.915464], [-75.980179, 42.917225999999985], [-75.976314, 42.92776099999999], [-75.950313, 42.923235], [-75.936286, 42.92378299999999], [-75.925549, 42.926344], [-75.917353, 42.924531], [-75.9087604, 42.924864799999995], [-75.892316, 42.938498], [-75.891514, 42.950619], [-75.910685, 42.956398], [-75.9268353, 42.9556727], [-75.93284, 42.968593], [-75.940701, 42.982178999999995]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;distance&quot;: 600, &quot;origin&quot;: [&quot;node&quot;, 3784068581]}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_c6849d18d6a7d949528fbc6d5e265b8a.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let aliases = [&quot;origin&quot;, &quot;distance&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_c6849d18d6a7d949528fbc6d5e265b8a.addTo(map_8919fb6c4c816c9a1ec7a0e834a26d44);\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_57e682e345f72377788d9cf4c5735881_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;color&quot;: &quot;black&quot;, &quot;fillColor&quot;: &quot;black&quot;, &quot;fillOpacity&quot;: 0.5, &quot;radius&quot;: 6, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_57e682e345f72377788d9cf4c5735881_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_57e682e345f72377788d9cf4c5735881_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_57e682e345f72377788d9cf4c5735881_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_57e682e345f72377788d9cf4c5735881_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_57e682e345f72377788d9cf4c5735881.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_57e682e345f72377788d9cf4c5735881_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_57e682e345f72377788d9cf4c5735881 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_57e682e345f72377788d9cf4c5735881_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_57e682e345f72377788d9cf4c5735881_styler,\n",
+       "                pointToLayer: geo_json_57e682e345f72377788d9cf4c5735881_pointToLayer,\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_57e682e345f72377788d9cf4c5735881_add (data) {\n",
+       "            geo_json_57e682e345f72377788d9cf4c5735881\n",
+       "                .addData(data);\n",
+       "        }\n",
+       "            geo_json_57e682e345f72377788d9cf4c5735881_add({&quot;bbox&quot;: [-75.8399379, 42.92619559999999, -75.8399379, 42.92619559999999], &quot;features&quot;: [{&quot;bbox&quot;: [-75.8399379, 42.92619559999999, -75.8399379, 42.92619559999999], &quot;geometry&quot;: {&quot;coordinates&quot;: [-75.8399379, 42.92619559999999], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;(\\u0027node\\u0027, 3784068581)&quot;, &quot;properties&quot;: {&quot;__folium_color&quot;: &quot;black&quot;, &quot;addr:city&quot;: &quot;Cazenovia&quot;, &quot;addr:country&quot;: null, &quot;addr:door&quot;: null, &quot;addr:flats&quot;: null, &quot;addr:housename&quot;: null, &quot;addr:housenumber&quot;: &quot;101&quot;, &quot;addr:postcode&quot;: &quot;13035&quot;, &quot;addr:state&quot;: &quot;NY&quot;, &quot;addr:street&quot;: &quot;Nelson Street&quot;, &quot;addr:unit&quot;: null, &quot;amenity&quot;: &quot;social_facility&quot;, &quot;building&quot;: null, &quot;building:levels&quot;: null, &quot;capacity&quot;: null, &quot;contact:fax&quot;: null, &quot;contact:phone&quot;: null, &quot;contact:website&quot;: null, &quot;description&quot;: null, &quot;fax&quot;: null, &quot;fixme&quot;: null, &quot;healthcare&quot;: null, &quot;medical_system:western&quot;: null, &quot;name&quot;: &quot;Caz Cares&quot;, &quot;name_1&quot;: null, &quot;nodes&quot;: null, &quot;nysgissam:nysaddresspointid&quot;: null, &quot;nysgissam:nysaddresspointid:1&quot;: null, &quot;nysgissam:nysaddresspointid:2&quot;: null, &quot;nysgissam:nysaddresspointid:3&quot;: null, &quot;nysgissam:nysaddresspointid:4&quot;: null, &quot;nysgissam:nysaddresspointid:5&quot;: null, &quot;nysgissam:review&quot;: null, &quot;opening_hours&quot;: null, &quot;operator&quot;: null, &quot;phone&quot;: null, &quot;social_facility&quot;: &quot;food_bank&quot;, &quot;social_facility:for&quot;: null, &quot;source&quot;: null, &quot;source:data&quot;: null, &quot;source:imagery&quot;: null, &quot;source:shape&quot;: null, &quot;type&quot;: null, &quot;ways&quot;: null, &quot;website&quot;: &quot;https://cazcares.org/&quot;, &quot;wheelchair&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_57e682e345f72377788d9cf4c5735881.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let aliases = [&quot;amenity&quot;, &quot;name&quot;, &quot;website&quot;, &quot;addr:city&quot;, &quot;addr:housenumber&quot;, &quot;addr:postcode&quot;, &quot;addr:state&quot;, &quot;addr:street&quot;, &quot;social_facility&quot;, &quot;addr:flats&quot;, &quot;fixme&quot;, &quot;nysgissam:nysaddresspointid&quot;, &quot;operator&quot;, &quot;social_facility:for&quot;, &quot;phone&quot;, &quot;addr:unit&quot;, &quot;nysgissam:review&quot;, &quot;opening_hours&quot;, &quot;nodes&quot;, &quot;building&quot;, &quot;nysgissam:nysaddresspointid:1&quot;, &quot;addr:country&quot;, &quot;ways&quot;, &quot;type&quot;, &quot;contact:phone&quot;, &quot;fax&quot;, &quot;name_1&quot;, &quot;contact:fax&quot;, &quot;contact:website&quot;, &quot;description&quot;, &quot;healthcare&quot;, &quot;medical_system:western&quot;, &quot;addr:housename&quot;, &quot;building:levels&quot;, &quot;source&quot;, &quot;wheelchair&quot;, &quot;capacity&quot;, &quot;addr:door&quot;, &quot;nysgissam:nysaddresspointid:2&quot;, &quot;nysgissam:nysaddresspointid:3&quot;, &quot;nysgissam:nysaddresspointid:4&quot;, &quot;nysgissam:nysaddresspointid:5&quot;, &quot;source:data&quot;, &quot;source:imagery&quot;, &quot;source:shape&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "    \n",
+       "            geo_json_57e682e345f72377788d9cf4c5735881.addTo(map_8919fb6c4c816c9a1ec7a0e834a26d44);\n",
+       "        \n",
+       "&lt;/script&gt;\n",
+       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x2a46a2b90>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# look at only the first record\n",
+    "\n",
+    "m = drive_chrone.iloc[[1]].explore()\n",
+    "facilities.iloc[[1]].explore(m=m, color=\"black\", style_kwds=dict(radius=6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "58216f9f-7e89-4e3f-a3bb-83552c2e7ca0",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2024-03-03T19:18:23.991640Z",
+     "iopub.status.busy": "2024-03-03T19:18:23.991550Z",
+     "iopub.status.idle": "2024-03-03T19:18:24.021469Z",
+     "shell.execute_reply": "2024-03-03T19:18:24.020938Z",
+     "shell.execute_reply.started": "2024-03-03T19:18:23.991631Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>from</th>\n",
+       "      <th>to</th>\n",
+       "      <th>travel_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>211905525</td>\n",
+       "      <td>212550604</td>\n",
+       "      <td>40.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>211905525</td>\n",
+       "      <td>6291988938</td>\n",
+       "      <td>166.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>212028019</td>\n",
+       "      <td>212827209</td>\n",
+       "      <td>55.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>212533433</td>\n",
+       "      <td>212533484</td>\n",
+       "      <td>4.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>212533433</td>\n",
+       "      <td>212533444</td>\n",
+       "      <td>12.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65923</th>\n",
+       "      <td>10917595296</td>\n",
+       "      <td>213148992</td>\n",
+       "      <td>19.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65924</th>\n",
+       "      <td>10942234832</td>\n",
+       "      <td>213009542</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65925</th>\n",
+       "      <td>10942234832</td>\n",
+       "      <td>213045439</td>\n",
+       "      <td>4.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65926</th>\n",
+       "      <td>10942234832</td>\n",
+       "      <td>213177620</td>\n",
+       "      <td>34.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65927</th>\n",
+       "      <td>11012738718</td>\n",
+       "      <td>212991426</td>\n",
+       "      <td>4.3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>65928 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              from          to  travel_time\n",
+       "0        211905525   212550604         40.6\n",
+       "1        211905525  6291988938        166.9\n",
+       "2        212028019   212827209         55.3\n",
+       "3        212533433   212533484          4.4\n",
+       "4        212533433   212533444         12.6\n",
+       "...            ...         ...          ...\n",
+       "65923  10917595296   213148992         19.6\n",
+       "65924  10942234832   213009542         24.0\n",
+       "65925  10942234832   213045439          4.3\n",
+       "65926  10942234832   213177620         34.8\n",
+       "65927  11012738718   212991426          4.3\n",
+       "\n",
+       "[65928 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "drive_net.edges_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe17c4b9-a9f9-4356-86ef-cf4d77f42ecd",
+   "metadata": {},
+   "source": [
+    "Remember also this is directed travel. These isochrones represent the area reachable *from* each social service provider; they do not necesssarily represent the origins who can reach the provider within a 10 minute drive. That is, drive networks are directed (and usually asymmetric)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b31f6045-57fe-4355-9c57-bf325f544970",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda env:geosnap]",
+   "language": "python",
+   "name": "conda-env-geosnap-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/geosnap/analyze/network.py b/geosnap/analyze/network.py
index f5daa557..723c8d56 100644
--- a/geosnap/analyze/network.py
+++ b/geosnap/analyze/network.py
@@ -1,27 +1,47 @@
 import geopandas as gpd
-import numpy as np
 import pandas as pd
 from libpysal.cg import alpha_shape_auto
-from tqdm.auto import tqdm
+from shapely import concave_hull
+from shapely.geometry import MultiPoint
+
+
+def _geom_to_hull(geom, ratio, allow_holes):
+    return concave_hull(MultiPoint(geom.tolist()), ratio=ratio, allow_holes=allow_holes)
+
+def _geom_to_alpha(geom):
+    return alpha_shape_auto(geom.get_coordinates()[["x", "y"]].values)
+
+def _points_to_poly(df, column, hull="shapely", ratio=0.2, allow_holes=False):
+    if hull == "libpysal":
+        output = df.groupby(column)["geometry"].apply(_geom_to_alpha)
+    elif hull == "shapely":
+        output = df.groupby(column)["geometry"].apply(
+            lambda x: _geom_to_hull(x, ratio, allow_holes)
+        )
+    else:
+        raise ValueError(
+            f"`algorithm must be either 'shapely' or 'libpysal' but {hull} was passed"
+        )
+    return output
 
 
 def pdna_to_adj(origins, network, threshold, reindex=True, drop_nonorigins=True):
-    """Create an adjacency list of shortest network-based travel between origins
-       and destinations in a pandana.Network.
+    """Create an adjacency list of shortest network-based travel between
+       origins and destinations in a pandana.Network.
 
     Parameters
     ----------
     origins : geopandas.GeoDataFrame
-        Geodataframe of origin geometries to begin routing. If geometries are polygons,
-        they will be collapsed to centroids
+        Geodataframe of origin geometries to begin routing. If geometries are
+        polygons, they will be collapsed to centroids
     network : pandana.Network
         pandana.Network instance that stores the local travel network
     threshold : int
         maximum travel distance (inclusive)
     reindex : bool, optional
-        if True, use geodataframe index to identify observations in the adjlist.
-        If False, the node_id from the OSM node nearest each observation will be used.
-        by default True
+        if True, use geodataframe index to identify observations in the
+        adjlist. If False, the node_id from the OSM node nearest each
+        observation will be used. by default True
     drop_nonorigins : bool, optional
         If True, drop any destination nodes that are not also origins,
         by default True
@@ -50,7 +70,9 @@ def pdna_to_adj(origins, network, threshold, reindex=True, drop_nonorigins=True)
     return adj
 
 
-def isochrones_from_id(origin, network, threshold):
+def isochrones_from_id(
+    origin, network, threshold, hull="shapely", ratio=0.2, allow_holes=False
+):
     """Create travel isochrone(s) from a single origin using a pandana network.
 
     Parameters
@@ -64,6 +86,18 @@ def isochrones_from_id(origin, network, threshold):
         A single or list of threshold distances for which isochrones will be
         computed. These are in the
         same units as edges from the pandana.Network.edge_df
+    hull : str, {'libpysal', 'shapely'}
+        Which method to generate container polygons (concave hulls) for destination
+        points. If 'libpysal', use `libpysal.cg.alpha_shape_auto` to create the
+        concave hull, else if 'shapely', use  `shapely.concave_hull`.
+        Default is libpysal
+    ratio : float
+        ratio keyword passed to `shapely.concave_hull`. Only used if
+        `algorithm='hull'`. Default is 0.3
+    allow_holes : bool
+        keyword passed to `shapely.concave_hull` governing  whether holes are
+        allowed in the resulting polygon. Only used if `algorithm='hull'`.
+        Default is False.
 
     Returns
     -------
@@ -99,9 +133,15 @@ def isochrones_from_id(origin, network, threshold):
         # select the nodes within each threshold distance and take their alpha shape
         df = matrix[matrix.cost <= distance]
         nodes = node_df[node_df.index.isin(df.destination.tolist())]
-        alpha = alpha_shape_auto(
-            np.array([(nodes.loc[i].x, nodes.loc[i].y) for i in nodes.index.tolist()])
-        )
+        if hull == "libpysal":
+            alpha = _geom_to_alpha(nodes.geometry)
+        elif hull == "shapely":
+            alpha = _geom_to_hull(nodes.geometry, ratio=ratio, allow_holes=allow_holes)
+        else:
+            raise ValueError(
+                f"`algorithm must be either 'alpha' or 'hull' but {hull} was passed"
+            )
+
         alpha = gpd.GeoDataFrame(geometry=pd.Series(alpha), crs=4326)
         alpha["distance"] = distance
 
@@ -112,31 +152,58 @@ def isochrones_from_id(origin, network, threshold):
     return alpha
 
 
-def isochrones_from_gdf(origins, threshold, network, network_crs=4326, reindex=True):
+def isochrones_from_gdf(
+    origins,
+    threshold,
+    network,
+    network_crs=None,
+    reindex=True,
+    hull="shapely",
+    ratio=0.2,
+    allow_holes=False,
+):
     """Create travel isochrones for several origins simultaneously
 
-    Parameters
-    ----------
-    origins : geopandas.GeoDataFrame
-        a geodataframe containing the locations of origin point features
-    network : pandana.Network
-        pandana Network instance for calculating the shortest path isochrone for each origin feature
-    threshold: float
-        maximum travel distance to define the isochrone, measured in the same units as edges_df
-        in the pandana.Network object. If the network was created with pandana this is usually meters;
-        if it was created with urbanaccess this is usually travel time in minutes.
-    matrix: pandas dataframe (optional)
-        precalculated adjacency list dataframe created with `compute_travel_adjlist`
-    network_crs : str, int, pyproj.CRS (optional)
-        the coordinate system used to store x and y coordinates in the passed pandana network.
-        If the network was created with pandana or urbanaccess this is nearly always 4326.
-
-    Returns
-    -------
-    GeoPandas.DataFrame
-        polygon geometries with the isochrones for each origin point feature
+        Parameters
+        ----------
+        origins : geopandas.GeoDataFrame
+            a geodataframe containing the locations of origin point features
+        threshold: float
+            maximum travel distance to define the isochrone, measured in the same
+            units as edges_df in the pandana.Network object. If the network was
+            created with pandana this is usually meters; if it was created with
+            urbanaccess this is usually travel time in minutes.
+        network : pandana.Network
+            pandana Network instance for calculating the shortest path isochrone
+            for each origin feature
+        network_crs : str, int, pyproj.CRS (optional)
+            the coordinate system used to store x and y coordinates in the passed
+            pandana network. If None, the network is assumed to be stored in the 
+            same CRS as the origins geodataframe
+        reindex : bool
+            if True, use the dataframe index as the origin and destination IDs
+            (rather than the node_ids of the pandana.Network). Default is True
+        hull : str, {'libpysal', 'shapely'}
+            Which method to generate container polygons (concave hulls) for destination
+            points. If 'libpysal', use `libpysal.cg.alpha_shape_auto` to create the
+            concave hull, else if 'shapely', use  `shapely.concave_hull`.
+            Default is libpysal
+        ratio : float
+            ratio keyword passed to `shapely.concave_hull`. Only used if
+            `hull='shapely'`. Default is 0.3
+        allow_holes : bool
+            keyword passed to `shapely.concave_hull` governing  whether holes are
+            allowed in the resulting polygon. Only used if `hull='shapely'`.
+            Default is False.
+
+        Returns
+        -------
+        GeoPandas.DataFrame
+            polygon geometries with the isochrones for each origin point feature
 
     """
+    if network_crs is None:
+        network_crs = origins.crs
     node_ids = network.get_node_ids(origins.centroid.x, origins.centroid.y).astype(int)
 
     # map node ids in the network to index in the gdf
@@ -157,14 +224,18 @@ def isochrones_from_gdf(origins, threshold, network, network_crs=4326, reindex=T
     alphas = []
     for origin in matrix.origin.unique():
         do = matrix[matrix.origin == origin]
-        alpha = alpha_shape_auto(
-            np.array(
-                [
-                    (destinations.loc[i].x, destinations.loc[i].y)
-                    for i in do.destination.values
-                ]
+        dest_pts = destinations.loc[do["destination"]]
+        if hull == "libpysal":
+            alpha = _geom_to_alpha(dest_pts.geometry)
+        elif hull == "shapely":
+            alpha = _geom_to_hull(
+                dest_pts.geometry, ratio=ratio, allow_holes=allow_holes
             )
-        )
+        else:
+            raise ValueError(
+                f"`algorithm must be either 'alpha' or 'hull' but {hull} was passed"
+            )
+
         alpha = gpd.GeoDataFrame(geometry=pd.Series(alpha), crs=network_crs)
         alpha["distance"] = threshold
         alpha["origin"] = origin
@@ -174,3 +245,5 @@ def isochrones_from_gdf(origins, threshold, network, network_crs=4326, reindex=T
         if reindex:
             df = df.rename(index=mapper)
     return gpd.GeoDataFrame(df, crs=network_crs)
+
+
diff --git a/geosnap/io/__init__.py b/geosnap/io/__init__.py
index a4bebe07..a5972113 100644
--- a/geosnap/io/__init__.py
+++ b/geosnap/io/__init__.py
@@ -1,5 +1,6 @@
 from .constructors import *
 from .gadm import get_gadm
+from .networkio import get_network_from_gdf, project_network
 from .storage import (
     _fips_filter,
     _fipstable,
diff --git a/geosnap/io/networkio.py b/geosnap/io/networkio.py
new file mode 100644
index 00000000..bc61130c
--- /dev/null
+++ b/geosnap/io/networkio.py
@@ -0,0 +1,141 @@
+from warnings import warn
+
+import geopandas as gpd
+import pandana as pdna
+
+
+def _reproject_osm_nodes(nodes_df, input_crs, output_crs):
+    #  take original x,y coordinates and convert into geopandas.Series, then reproject
+    nodes = gpd.points_from_xy(x=nodes_df.x, y=nodes_df.y, crs=input_crs).to_crs(
+        output_crs
+    )
+    #  convert to dataframe and recreate the x and y cols
+    nodes = gpd.GeoDataFrame(index=nodes_df.index, geometry=nodes)
+    nodes["x"] = nodes.centroid.x
+    nodes["y"] = nodes.centroid.y
+    return nodes
+
+
+def get_network_from_gdf(
+    gdf, network_type="walk", twoway=False, add_travel_times=False, default_speeds=None
+):
+    """Create a pandana.Network object from a geodataframe (via OSMnx graph).
+
+    Parameters
+    ----------
+    gdf : geopandas.GeoDataFrame
+        dataframe covering the study area of interest; this should be stored in lat/long
+        (epsg 4326). Note the first step is to take the unary union of this dataframe,
+        which is expensive, so large dataframes may be time-consuming
+    network_type : str, {"all_private", "all", "bike", "drive", "drive_service", "walk"}
+        the type of network to collect from OSM (passed to `osmnx.graph_from_polygon`)
+        by default "walk"
+    twoway : bool, optional
+        Whether to treat the pandana.Network as directed or undirected. For a directed network,
+        use `twoway=False` (which is the default). For an undirected network (e.g. a
+        walk network) where travel can flow in both directions, the network is more
+        efficient when twoway=True. This has implications for drive networks or multimodal
+        networks where impedance is different depending on travel direction.
+    add_travel_times : bool, default=False
+        whether to use posted travel times from OSM as the impedance measure (rather
+        than network-distance). Speeds are based on max drive speeds, see
+        <https://osmnx.readthedocs.io/en/stable/internals-reference.html#osmnx-speed-module>
+        for more information.
+    default_speeds : dict, optional
+        default speeds passed assumed when no data available on the OSM edge. Defaults
+        to  {"residential": 35, "secondary": 50, "tertiary": 60}. Only considered if
+        add_travel_times is True
+
+    Returns
+    -------
+    pandana.Network
+        a pandana.Network object with node coordinates stored in the same system as the
+        input geodataframe
+
+    Raises
+    ------
+    ImportError
+        requires `osmnx`, raises if module not available
+    """
+    gdf = gdf.copy()
+    try:
+        import osmnx as ox
+    except ImportError as e:
+        raise ImportError("this functions requires the osmnx module") from e
+    output_crs = None
+    if not gdf.crs.is_geographic:
+        output_crs = gdf.crs
+        warn(
+            f"GeoDataFrame is stored in coordinate system {output_crs} so the "
+            "pandana.Network will also be stored in this system",
+            stacklevel=1,
+        )
+        gdf = gdf.to_crs(4326)
+
+    if default_speeds is None:
+        default_speeds = {
+            "residential": 35,
+            "secondary": 50,
+            "tertiary": 60,
+        }
+
+    impedance = "length"
+    graph = ox.graph_from_polygon(gdf.unary_union, network_type=network_type)
+    if add_travel_times:
+        graph = ox.add_edge_speeds(graph, default_speeds)
+        graph = ox.add_edge_travel_times(graph)
+        impedance = "travel_time"
+
+    n, e = ox.utils_graph.graph_to_gdfs(graph)
+    if output_crs is not None:
+        n = _reproject_osm_nodes(n, input_crs=4326, output_crs=output_crs)
+    e = e.reset_index()
+
+    return pdna.Network(
+        edge_from=e["u"],
+        edge_to=e["v"],
+        edge_weights=e[[impedance]],
+        node_x=n["x"],
+        node_y=n["y"],
+        twoway=twoway,
+    )
+
+
+def project_network(network, output_crs=None, input_crs=4326):
+    """Reproject a pandana.Network object into another coordinate system.
+
+    Note this function does not change the legth of any network edges, but
+    reprojects the x and y coordinates of the nodes (e.g. for precise snapping)
+    between nodes and projected origin/destination data
+
+    Parameters
+    ----------
+    network : pandana.Network
+        an instantiated pandana Network object
+    input_crs : int, optional
+        the coordinate system used in the Network.node_df dataframe. Typically
+        these data are collected in Lon/Lat, so the default 4326
+    output_crs : int, str, or pyproj.crs.CRS, required
+        EPSG code or pyproj.crs.CRS object of the output coordinate system
+
+    Returns
+    -------
+    pandana.Network
+        an initialized pandana.Network with 'x' and y' values represented
+        by coordinates in the specified CRS
+    """
+    assert output_crs, "You must provide an output CRS"
+
+    #  take original x,y coordinates and convert into geopandas.Series, then reproject
+    nodes = _reproject_osm_nodes(network.nodes_df, input_crs, output_crs)
+
+    #  reinstantiate the network (needs to rebuild the tree)
+    net = pdna.Network(
+        node_x=nodes["x"],
+        node_y=nodes["y"],
+        edge_from=network.edges_df["from"],
+        edge_to=network.edges_df["to"],
+        edge_weights=network.edges_df[network.impedance_names],
+        twoway=network._twoway,
+    )
+    return net
diff --git a/pyproject.toml b/pyproject.toml
index aaa126f6..defcdd35 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -78,6 +78,7 @@ tests = [
     "watermark",
     "pygraphviz",
     "hdbscan",
+    'osmnx'
 ]
 
 [tool.setuptools.packages.find]


Test patch:
diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml
index 820146da..6d75b7d3 100644
--- a/.github/workflows/unittests.yml
+++ b/.github/workflows/unittests.yml
@@ -24,6 +24,8 @@ jobs:
         include:
           - environment-file: .ci/311.yml
             os: macos-latest
+          - environment-file: .ci/311.yml
+            os: macos-14  # Apple Silicon
           - environment-file: .ci/311.yml
             os: windows-latest
     defaults:
@@ -46,7 +48,7 @@ jobs:
   
       - name: Test geosnap
         run: |
-          pytest geosnap \
+          coverage run -m pytest \
            -v \
            -r a \
            -n auto \
@@ -54,7 +56,8 @@ jobs:
            --cov geosnap \
            --cov-append \
            --cov-report term-missing \
-           --cov-report xml
+           --cov-report xml \
+           geosnap
       - name: codecov
         uses: codecov/codecov-action@v3
         with:
diff --git a/geosnap/tests/test_isochrones.py b/geosnap/tests/test_isochrones.py
index add3b906..4ff2db66 100644
--- a/geosnap/tests/test_isochrones.py
+++ b/geosnap/tests/test_isochrones.py
@@ -2,7 +2,8 @@
     isochrones_from_id,
     isochrones_from_gdf,
 )
-
+from geosnap import DataStore
+from geosnap.io import get_acs, get_network_from_gdf
 import pandana as pdna
 import geopandas as gpd
 import os
@@ -30,7 +31,7 @@ def get_data():
 @pytest.mark.xdist_group(name="group1")
 def test_isos_from_ids():
     example_origin, sd_network = get_data()
-    iso = isochrones_from_id(example_origin, sd_network, threshold=1600)
+    iso = isochrones_from_id(example_origin, sd_network, threshold=1600, hull='libpysal')
     assert_almost_equal(iso.area.round(6).astype(float).tolist()[0], 0.000128)
 
 
@@ -39,18 +40,47 @@ def test_isos_from_ids():
     reason="skipping test on windows because of dtype issue",
 )
 @pytest.mark.xdist_group(name="group1")
-def test_isos_from_gdf():
+def test_isos_from_gdf_pysal():
     example_origin, sd_network = get_data()
     sd_network.nodes_df["geometry"] = gpd.points_from_xy(
         sd_network.nodes_df.x, sd_network.nodes_df.y
     )
     example_point = gpd.GeoDataFrame(
-        sd_network.nodes_df.loc[example_origin]
-    ).T.set_geometry("geometry")
+        sd_network.nodes_df.loc[[example_origin]]
+    )
     example_point = example_point.set_crs(4326)
     t = isochrones_from_gdf(
         origins=example_point,
         network=sd_network,
         threshold=1600,
+        hull='libpysal'
     )
     assert_almost_equal(t.area.astype(float).round(8).tolist()[0], 0.00012821)
+
+@pytest.mark.skipif(
+    sys.platform.startswith("win"),
+    reason="skipping test on windows because of dtype issue",
+)
+@pytest.mark.xdist_group(name="group1")
+def test_isos_from_gdf_shapely():
+    example_origin, sd_network = get_data()
+    sd_network.nodes_df["geometry"] = gpd.points_from_xy(
+        sd_network.nodes_df.x, sd_network.nodes_df.y
+    )
+    example_point = gpd.GeoDataFrame(
+        sd_network.nodes_df.loc[[example_origin]]
+    )
+    example_point = example_point.set_crs(4326)
+    t = isochrones_from_gdf(
+        origins=example_point,
+        network=sd_network,
+        threshold=1600,
+    )
+    assert_almost_equal(t.area.astype(float).round(8).tolist()[0], 0.00012474)
+
+
+def test_network_constructor():
+    tracts = get_acs(DataStore(), county_fips='48301', level='tract', years=2015)
+    walk_net = get_network_from_gdf(tracts)
+    # this will grow depending on the size of the OSM network when tested...
+    assert walk_net.edges_df.shape[0] > 6000
\ No newline at end of file