{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "707b1a14",
   "metadata": {},
   "source": [
    "Pre-process SVI Data from [CDC portal](https://www.atsdr.cdc.gov/place-health/php/svi/svi-data-documentation-download.html)\n",
    "\n",
    "- Tract data for United States from 2022, 2020, 2010, 2000.  \n",
    "- Data documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "803df305",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ibis\n",
    "from ibis import _\n",
    "import streamlit as st\n",
    "from utilities import generate_pmtiles\n",
    "\n",
    "con = ibis.duckdb.connect(\"duck.db\", extensions=['httpfs', 'spatial', 'h3'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7ac648e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "781a57e6e9004c5b8b7ae644aea77dbe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9de6547cfe7e4b32af6852eadf27e53e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "For layer 0, using name \"svi\"\n",
      "84120 features, 34922477 bytes of geometry, 5150225 bytes of string pool\n",
      "tile 1/0/0 size is 673414 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 66.82% of the features to make it fit\n",
      "tile 1/0/0 size is 654918 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 45.92% of the features to make it fit\n",
      "tile 1/0/0 size is 627082 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 32.95% of the features to make it fit\n",
      "tile 1/0/0 size is 571221 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 25.96% of the features to make it fit\n",
      "tile 1/0/0 size is 515026 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 22.68% of the features to make it fit\n",
      "tile 2/0/1 size is 556184 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 80.91% of the features to make it fit\n",
      "tile 2/1/1 size is 680483 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 66.13% of the features to make it fit\n",
      "tile 2/0/1 size is 544973 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 66.81% of the features to make it fit\n",
      "tile 2/1/1 size is 633636 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 46.96% of the features to make it fit\n",
      "tile 2/0/1 size is 529976 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 56.73% of the features to make it fit\n",
      "tile 2/1/1 size is 562278 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 37.59% of the features to make it fit\n",
      "tile 2/0/1 size is 509845 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 50.07% of the features to make it fit\n",
      "tile 3/1/3 size is 614365 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 73.25% of the features to make it fit\n",
      "tile 3/2/3 size is 828844 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 54.29% of the features to make it fit\n",
      "tile 3/1/3 size is 557346 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 59.14% of the features to make it fit\n",
      "tile 3/2/3 size is 622365 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 39.26% of the features to make it fit\n",
      "tile 3/1/3 size is 507698 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 52.42% of the features to make it fit\n",
      "tile 4/4/5 size is 513228 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 87.68% of the features to make it fit\n",
      "tile 4/3/6 size is 635333 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 70.83% of the features to make it fit\n",
      "tile 4/3/6 size is 515357 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 61.85% of the features to make it fit\n",
      "tile 4/4/6 size is 1080604 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 41.64% of the features to make it fit\n",
      "tile 4/4/6 size is 614947 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 30.47% of the features to make it fit\n",
      "tile 5/8/12 size is 784796 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 57.34% of the features to make it fit\n",
      "tile 5/8/12 size is 540488 with detail 12, >500000    \n",
      "Going to try keeping the sparsest 47.74% of the features to make it fit\n",
      "  99.9%  12/973/1656   \n",
      "  100.0%  12/4092/1352  \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully generated PMTiles file: svi-data/2022/SVI2022_US_tract.pmtiles\n"
     ]
    }
   ],
   "source": [
    "expr = con.read_geo(\"svi-data/2022/SVI2022_US_tract.gdb\")\n",
    "expr.to_parquet(\"svi-data/2022/SVI2022_US_tract.parquet\")\n",
    "\n",
    "# tippecanoe requires geojson input to create PMTiles.  Drop most additional variables in PMTiles creation.\n",
    "query = ibis.to_sql(expr.select('STATE', 'COUNTY', 'LOCATION', 'FIPS', 'RPL_THEMES', 'Shape'))\n",
    "con.raw_sql(f\"COPY ({query}) TO '/tmp/svi.json' WITH (FORMAT GDAL, DRIVER 'GeoJSON', LAYER_CREATION_OPTIONS 'WRITE_BBOX=YES');\")\n",
    "\n",
    "generate_pmtiles(\"/tmp/svi.json\", \"svi-data/2022/SVI2022_US_tract.pmtiles\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2e29cc6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<minio.helpers.ObjectWriteResult at 0x77886893f050>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import minio\n",
    "import re\n",
    "\n",
    "minio_key = st.secrets[\"MINIO_KEY\"]\n",
    "minio_secret = st.secrets[\"MINIO_SECRET\"]\n",
    "mc = minio.Minio(\"minio.carlboettiger.info\", minio_key, minio_secret)\n",
    "\n",
    "mc.fput_object(\"public-data\", \"social-vulnerability/2022/SVI2022_US_tract.pmtiles\", \"svi-data/2022/SVI2022_US_tract.pmtiles\")\n",
    "mc.fput_object(\"public-data\", \"social-vulnerability/2022/SVI2022_US_tract.parquet\", \"svi-data/2022/SVI2022_US_tract.parquet\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5fcd59bc-72a4-4de7-9cdb-1b6eca9407fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<duckdb.duckdb.DuckDBPyConnection at 0x7edb2419f330>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "# Local cloud\n",
    "minio_key = st.secrets[\"MINIO_KEY\"]\n",
    "minio_secret = st.secrets[\"MINIO_SECRET\"]\n",
    "query1 =   f'''\n",
    "CREATE OR REPLACE SECRET secret1 (\n",
    "    TYPE S3,\n",
    "    KEY_ID '{minio_key}',\n",
    "    SECRET '{minio_secret}',\n",
    "    ENDPOINT 'minio.carlboettiger.info',\n",
    "    URL_STYLE 'path',\n",
    "    SCOPE \"s3://public-gbif\"\n",
    "\n",
    ");\n",
    "'''\n",
    "query2 =   f'''\n",
    "CREATE OR REPLACE SECRET secret2 (\n",
    "    TYPE S3,\n",
    "    KEY_ID '{minio_key}',\n",
    "    SECRET '{minio_secret}',\n",
    "    ENDPOINT 'minio.carlboettiger.info',\n",
    "    URL_STYLE 'path',\n",
    "    SCOPE \"s3://public-data\"\n",
    "\n",
    ");\n",
    "'''\n",
    "# don't scope to a single bucket\n",
    "#     SCOPE 's3://public-gbif'\n",
    "\n",
    "con.raw_sql(query1)\n",
    "con.raw_sql(query2)\n",
    "## Limits are sometimes good \n",
    "con.raw_sql(\"SET memory_limit = '20GB';\")\n",
    "con.raw_sql(\"set threads=40;\")\n",
    "\n",
    "# can/should we add explicit spatial index to gbif first?  using RTree takes too much memory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "dcf50375-75ee-4208-87b2-6ffef6361742",
   "metadata": {},
   "outputs": [],
   "source": [
    "overture = (\n",
    "    con.read_parquet('s3://overturemaps-us-west-2/release/2024-11-13.0/theme=divisions/type=division_area/*', \n",
    "                     filename=True, hive_partitioning=1))\n",
    "usa = overture.filter(_.subtype==\"country\").filter(_.country == \"US\").select(_.geometry).execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ce86081b-a46f-426b-9432-9bce588156ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "gbif = con.read_parquet(\"s3://public-gbif/2024-10-01/**\")\n",
    "svi = con.read_parquet(\"s3://public-data/social-vulnerability/2022/SVI2022_US_tract.parquet\").rename(geom = \"Shape\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3891abb6-3652-4217-8615-106d354ff131",
   "metadata": {},
   "source": [
    "We iterate through the city list to do this efficiently.  (Should we filter gbif down to US boundary as a one-off first?  We will assume it is efficient to filter the full globe state by state)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "69bf6dc6-4a13-4830-8c1a-87bb5899eb32",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_states = svi.select(_.ST_ABBR).distinct().order_by(_.ST_ABBR).execute()[\"ST_ABBR\"]\n",
    "#all_states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "32a2b4c1-e08b-4fbb-b891-ac19053a4585",
   "metadata": {},
   "outputs": [],
   "source": [
    "## select from the list we haven't yet written (allows resume).\n",
    "import minio\n",
    "import re\n",
    "\n",
    "minio_key = st.secrets[\"MINIO_KEY\"]\n",
    "minio_secret = st.secrets[\"MINIO_SECRET\"]\n",
    "mc = minio.Minio(\"minio.carlboettiger.info\", minio_key, minio_secret)\n",
    "obj = mc.list_objects(\"public-gbif\", \"social-vulnerability\", recursive=True)\n",
    "pattern = r\"social-vulnerability/|\\.parquet$\"\n",
    "finished = [re.sub(pattern, \"\",  i.object_name) for i in obj if not i.is_dir]\n",
    "remaining = set(all_states) - set(finished)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4ecc58a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AK',\n",
       " 'AL',\n",
       " 'AR',\n",
       " 'AZ',\n",
       " 'CA',\n",
       " 'CO',\n",
       " 'CT',\n",
       " 'DC',\n",
       " 'DE',\n",
       " 'FL',\n",
       " 'GA',\n",
       " 'HI',\n",
       " 'IA',\n",
       " 'ID',\n",
       " 'IL',\n",
       " 'IN',\n",
       " 'KS',\n",
       " 'KY',\n",
       " 'LA',\n",
       " 'MA',\n",
       " 'MD',\n",
       " 'ME',\n",
       " 'MI',\n",
       " 'MN',\n",
       " 'MO',\n",
       " 'MS',\n",
       " 'MT',\n",
       " 'NC',\n",
       " 'ND',\n",
       " 'NE',\n",
       " 'NH',\n",
       " 'NJ',\n",
       " 'NM',\n",
       " 'NV',\n",
       " 'NY',\n",
       " 'OH',\n",
       " 'OK',\n",
       " 'OR',\n",
       " 'PA',\n",
       " 'RI',\n",
       " 'SC',\n",
       " 'SD',\n",
       " 'TN',\n",
       " 'TX',\n",
       " 'UT',\n",
       " 'VA',\n",
       " 'VT',\n",
       " 'WA',\n",
       " 'WI',\n",
       " 'WV',\n",
       " 'WY'}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "remaining"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3a4005c-1e8c-4f2a-a93c-1c158c9c26ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NV/Eureka County\n"
     ]
    },
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     "text": [
      "NV/Lander County\n"
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     "text": [
      "NV/Clark County\n"
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     "text": [
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     "text": [
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     "text": [
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     "text": [
      "NV/Lincoln County\n"
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NV/White Pine County\n"
     ]
    },
    {
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       "model_id": "b89cd3441e714d5983daffa6c93cc0ee",
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NV/Mineral County\n"
     ]
    },
    {
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       "model_id": "c05bb3bbd3434373a068a489410beb4a",
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Blaine County\n"
     ]
    },
    {
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       "model_id": "f88979e7186546f3be239f901393ab8a",
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Butler County\n"
     ]
    },
    {
     "data": {
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       "model_id": "c4bfcd9ba81944b29907ccf3c6d3783e",
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Custer County\n"
     ]
    },
    {
     "data": {
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       "model_id": "6cd52ae08b7b4dea931ff2ffa5d6c7f6",
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Dakota County\n"
     ]
    },
    {
     "data": {
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       "model_id": "b3a2e7411b69407ba76c06b0d083a961",
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     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Kearney County\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0ccf52489a3467ba172afef3e36f2f0",
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NE/Keith County\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e6f8cd9d59284e7aaa9eabe117a69079",
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      },
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       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "## And here we go, long-running loop over each city\n",
    "for i in remaining:\n",
    "    counties = svi.filter(_.ST_ABBR == i).select(_.COUNTY).distinct().execute()[\"COUNTY\"].to_numpy()\n",
    "    for county in counties:\n",
    "       gdf = (svi\n",
    "              .filter(_.ST_ABBR == i, _.COUNTY== county)\n",
    "              .mutate(area = _.geom.area())\n",
    "       )\n",
    "\n",
    "       print(i + \"/\" + county)\n",
    "       \n",
    "       bounds =  gdf.execute().total_bounds\n",
    "       points = (gbif\n",
    "              .filter(_.decimallongitude >= bounds[0], \n",
    "                     _.decimallongitude < bounds[2], \n",
    "                     _.decimallatitude >= bounds[1], \n",
    "                     _.decimallatitude < bounds[3])\n",
    "              )\n",
    "                     \n",
    "       (gdf\n",
    "       .join(points, gdf.geom.intersects(points.geom))\n",
    "       .to_parquet(f\"s3://public-gbif/social-vulnerability/state={i}/{county}.parquet\")\n",
    "       )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "050a358f-e2de-49bd-a80d-4f8c47e36bab",
   "metadata": {},
   "source": [
    "gbif_usa = con.read_parquet(\"s3://cboettig/gbif/svi/**\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9bd1299b-af6b-4d85-97fb-ba83a5c26c70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">DatabaseTable: ibis_read_parquet_msislo4d7fcgdfh2pyoxvxjkdu\n",
       "  OBJECTID                         int64\n",
       "  ST                               string\n",
       "  STATE                            string\n",
       "  ST_ABBR                          string\n",
       "  STCNTY                           string\n",
       "  COUNTY                           string\n",
       "  FIPS                             string\n",
       "  LOCATION                         string\n",
       "  AREA_SQMI                        float64\n",
       "  E_TOTPOP                         int32\n",
       "  M_TOTPOP                         int32\n",
       "  E_HU                             int32\n",
       "  M_HU                             int32\n",
       "  E_HH                             int32\n",
       "  M_HH                             int32\n",
       "  E_POV150                         int32\n",
       "  M_POV150                         int32\n",
       "  E_UNEMP                          int32\n",
       "  M_UNEMP                          int32\n",
       "  E_HBURD                          int32\n",
       "  M_HBURD                          int32\n",
       "  E_NOHSDP                         int32\n",
       "  M_NOHSDP                         int32\n",
       "  E_UNINSUR                        int32\n",
       "  M_UNINSUR                        int32\n",
       "  E_AGE65                          int32\n",
       "  M_AGE65                          int32\n",
       "  E_AGE17                          int32\n",
       "  M_AGE17                          int32\n",
       "  E_DISABL                         int32\n",
       "  M_DISABL                         int32\n",
       "  E_SNGPNT                         int32\n",
       "  M_SNGPNT                         int32\n",
       "  E_LIMENG                         int32\n",
       "  M_LIMENG                         int32\n",
       "  E_MINRTY                         int32\n",
       "  M_MINRTY                         int32\n",
       "  E_MUNIT                          int32\n",
       "  M_MUNIT                          int32\n",
       "  E_MOBILE                         int32\n",
       "  M_MOBILE                         int32\n",
       "  E_CROWD                          int32\n",
       "  M_CROWD                          int32\n",
       "  E_NOVEH                          int32\n",
       "  M_NOVEH                          int32\n",
       "  E_GROUPQ                         int32\n",
       "  M_GROUPQ                         int32\n",
       "  EP_POV150                        float64\n",
       "  MP_POV150                        float64\n",
       "  EP_UNEMP                         float64\n",
       "  MP_UNEMP                         float64\n",
       "  EP_HBURD                         float64\n",
       "  MP_HBURD                         float64\n",
       "  EP_NOHSDP                        float64\n",
       "  MP_NOHSDP                        float64\n",
       "  EP_UNINSUR                       float64\n",
       "  MP_UNINSUR                       float64\n",
       "  EP_AGE65                         float64\n",
       "  MP_AGE65                         float64\n",
       "  EP_AGE17                         float64\n",
       "  MP_AGE17                         float64\n",
       "  EP_DISABL                        float64\n",
       "  MP_DISABL                        float64\n",
       "  EP_SNGPNT                        float64\n",
       "  MP_SNGPNT                        float64\n",
       "  EP_LIMENG                        float64\n",
       "  MP_LIMENG                        float64\n",
       "  EP_MINRTY                        float64\n",
       "  MP_MINRTY                        float64\n",
       "  EP_MUNIT                         float64\n",
       "  MP_MUNIT                         float64\n",
       "  EP_MOBILE                        float64\n",
       "  MP_MOBILE                        float64\n",
       "  EP_CROWD                         float64\n",
       "  MP_CROWD                         float64\n",
       "  EP_NOVEH                         float64\n",
       "  MP_NOVEH                         float64\n",
       "  EP_GROUPQ                        float64\n",
       "  MP_GROUPQ                        float64\n",
       "  EPL_POV150                       float64\n",
       "  EPL_UNEMP                        float64\n",
       "  EPL_HBURD                        float64\n",
       "  EPL_NOHSDP                       float64\n",
       "  EPL_UNINSUR                      float64\n",
       "  SPL_THEME1                       float64\n",
       "  RPL_THEME1                       float64\n",
       "  EPL_AGE65                        float64\n",
       "  EPL_AGE17                        float64\n",
       "  EPL_DISABL                       float64\n",
       "  EPL_SNGPNT                       float64\n",
       "  EPL_LIMENG                       float64\n",
       "  SPL_THEME2                       float64\n",
       "  RPL_THEME2                       float64\n",
       "  EPL_MINRTY                       float64\n",
       "  SPL_THEME3                       float64\n",
       "  RPL_THEME3                       float64\n",
       "  EPL_MUNIT                        float64\n",
       "  EPL_MOBILE                       float64\n",
       "  EPL_CROWD                        float64\n",
       "  EPL_NOVEH                        float64\n",
       "  EPL_GROUPQ                       float64\n",
       "  SPL_THEME4                       float64\n",
       "  RPL_THEME4                       float64\n",
       "  SPL_THEMES                       float64\n",
       "  RPL_THEMES                       float64\n",
       "  F_POV150                         int16\n",
       "  F_UNEMP                          int16\n",
       "  F_HBURD                          int16\n",
       "  F_NOHSDP                         int16\n",
       "  F_UNINSUR                        int16\n",
       "  F_THEME1                         int16\n",
       "  F_AGE65                          int16\n",
       "  F_AGE17                          int16\n",
       "  F_DISABL                         int16\n",
       "  F_SNGPNT                         int16\n",
       "  F_LIMENG                         int16\n",
       "  F_THEME2                         int16\n",
       "  F_MINRTY                         int16\n",
       "  F_THEME3                         int16\n",
       "  F_MUNIT                          int16\n",
       "  F_MOBILE                         int16\n",
       "  F_CROWD                          int16\n",
       "  F_NOVEH                          int16\n",
       "  F_GROUPQ                         int16\n",
       "  F_THEME4                         int16\n",
       "  F_TOTAL                          int16\n",
       "  E_DAYPOP                         int32\n",
       "  E_NOINT                          int32\n",
       "  M_NOINT                          int32\n",
       "  E_AFAM                           int32\n",
       "  M_AFAM                           int32\n",
       "  E_HISP                           int32\n",
       "  M_HISP                           int32\n",
       "  E_ASIAN                          int32\n",
       "  M_ASIAN                          int32\n",
       "  E_AIAN                           int32\n",
       "  M_AIAN                           int32\n",
       "  E_NHPI                           int32\n",
       "  M_NHPI                           int32\n",
       "  E_TWOMORE                        int32\n",
       "  M_TWOMORE                        int32\n",
       "  E_OTHERRACE                      int32\n",
       "  M_OTHERRACE                      int32\n",
       "  EP_NOINT                         float64\n",
       "  MP_NOINT                         float64\n",
       "  EP_AFAM                          float64\n",
       "  MP_AFAM                          float64\n",
       "  EP_HISP                          float64\n",
       "  MP_HISP                          float64\n",
       "  EP_ASIAN                         float64\n",
       "  MP_ASIAN                         float64\n",
       "  EP_AIAN                          float64\n",
       "  MP_AIAN                          float64\n",
       "  EP_NHPI                          float64\n",
       "  MP_NHPI                          float64\n",
       "  EP_TWOMORE                       float64\n",
       "  MP_TWOMORE                       float64\n",
       "  EP_OTHERRACE                     float64\n",
       "  MP_OTHERRACE                     float64\n",
       "  Shape_Length                     float64\n",
       "  Shape_Area                       float64\n",
       "  geom                             geospatial:geometry\n",
       "  area                             float64\n",
       "  gbifid                           string\n",
       "  datasetkey                       string\n",
       "  occurrenceid                     string\n",
       "  kingdom                          string\n",
       "  phylum                           string\n",
       "  class                            string\n",
       "  order                            string\n",
       "  family                           string\n",
       "  genus                            string\n",
       "  species                          string\n",
       "  infraspecificepithet             string\n",
       "  taxonrank                        string\n",
       "  scientificname                   string\n",
       "  verbatimscientificname           string\n",
       "  verbatimscientificnameauthorship string\n",
       "  countrycode                      string\n",
       "  locality                         string\n",
       "  stateprovince                    string\n",
       "  occurrencestatus                 string\n",
       "  individualcount                  int32\n",
       "  publishingorgkey                 string\n",
       "  decimallatitude                  float64\n",
       "  decimallongitude                 float64\n",
       "  coordinateuncertaintyinmeters    float64\n",
       "  coordinateprecision              float64\n",
       "  elevation                        float64\n",
       "  elevationaccuracy                float64\n",
       "  depth                            float64\n",
       "  depthaccuracy                    float64\n",
       "  eventdate                        timestamp(6)\n",
       "  day                              int32\n",
       "  month                            int32\n",
       "  year                             int32\n",
       "  taxonkey                         int32\n",
       "  specieskey                       int32\n",
       "  basisofrecord                    string\n",
       "  institutioncode                  string\n",
       "  collectioncode                   string\n",
       "  catalognumber                    string\n",
       "  recordnumber                     string\n",
       "  identifiedby                     array&lt;string&gt;\n",
       "  dateidentified                   timestamp(6)\n",
       "  license                          string\n",
       "  rightsholder                     string\n",
       "  recordedby                       array&lt;string&gt;\n",
       "  typestatus                       array&lt;string&gt;\n",
       "  establishmentmeans               string\n",
       "  lastinterpreted                  timestamp(6)\n",
       "  mediatype                        array&lt;string&gt;\n",
       "  issue                            array&lt;string&gt;\n",
       "  geom_right                       geospatial:geometry\n",
       "  h0                               string\n",
       "  h1                               string\n",
       "  h2                               string\n",
       "  h3                               string\n",
       "  h4                               string\n",
       "  h5                               string\n",
       "  h6                               string\n",
       "  h7                               string\n",
       "  h8                               string\n",
       "  h9                               string\n",
       "  h10                              string\n",
       "  h11                              string\n",
       "</pre>\n"
      ],
      "text/plain": [
       "DatabaseTable: ibis_read_parquet_msislo4d7fcgdfh2pyoxvxjkdu\n",
       "  OBJECTID                         int64\n",
       "  ST                               string\n",
       "  STATE                            string\n",
       "  ST_ABBR                          string\n",
       "  STCNTY                           string\n",
       "  COUNTY                           string\n",
       "  FIPS                             string\n",
       "  LOCATION                         string\n",
       "  AREA_SQMI                        float64\n",
       "  E_TOTPOP                         int32\n",
       "  M_TOTPOP                         int32\n",
       "  E_HU                             int32\n",
       "  M_HU                             int32\n",
       "  E_HH                             int32\n",
       "  M_HH                             int32\n",
       "  E_POV150                         int32\n",
       "  M_POV150                         int32\n",
       "  E_UNEMP                          int32\n",
       "  M_UNEMP                          int32\n",
       "  E_HBURD                          int32\n",
       "  M_HBURD                          int32\n",
       "  E_NOHSDP                         int32\n",
       "  M_NOHSDP                         int32\n",
       "  E_UNINSUR                        int32\n",
       "  M_UNINSUR                        int32\n",
       "  E_AGE65                          int32\n",
       "  M_AGE65                          int32\n",
       "  E_AGE17                          int32\n",
       "  M_AGE17                          int32\n",
       "  E_DISABL                         int32\n",
       "  M_DISABL                         int32\n",
       "  E_SNGPNT                         int32\n",
       "  M_SNGPNT                         int32\n",
       "  E_LIMENG                         int32\n",
       "  M_LIMENG                         int32\n",
       "  E_MINRTY                         int32\n",
       "  M_MINRTY                         int32\n",
       "  E_MUNIT                          int32\n",
       "  M_MUNIT                          int32\n",
       "  E_MOBILE                         int32\n",
       "  M_MOBILE                         int32\n",
       "  E_CROWD                          int32\n",
       "  M_CROWD                          int32\n",
       "  E_NOVEH                          int32\n",
       "  M_NOVEH                          int32\n",
       "  E_GROUPQ                         int32\n",
       "  M_GROUPQ                         int32\n",
       "  EP_POV150                        float64\n",
       "  MP_POV150                        float64\n",
       "  EP_UNEMP                         float64\n",
       "  MP_UNEMP                         float64\n",
       "  EP_HBURD                         float64\n",
       "  MP_HBURD                         float64\n",
       "  EP_NOHSDP                        float64\n",
       "  MP_NOHSDP                        float64\n",
       "  EP_UNINSUR                       float64\n",
       "  MP_UNINSUR                       float64\n",
       "  EP_AGE65                         float64\n",
       "  MP_AGE65                         float64\n",
       "  EP_AGE17                         float64\n",
       "  MP_AGE17                         float64\n",
       "  EP_DISABL                        float64\n",
       "  MP_DISABL                        float64\n",
       "  EP_SNGPNT                        float64\n",
       "  MP_SNGPNT                        float64\n",
       "  EP_LIMENG                        float64\n",
       "  MP_LIMENG                        float64\n",
       "  EP_MINRTY                        float64\n",
       "  MP_MINRTY                        float64\n",
       "  EP_MUNIT                         float64\n",
       "  MP_MUNIT                         float64\n",
       "  EP_MOBILE                        float64\n",
       "  MP_MOBILE                        float64\n",
       "  EP_CROWD                         float64\n",
       "  MP_CROWD                         float64\n",
       "  EP_NOVEH                         float64\n",
       "  MP_NOVEH                         float64\n",
       "  EP_GROUPQ                        float64\n",
       "  MP_GROUPQ                        float64\n",
       "  EPL_POV150                       float64\n",
       "  EPL_UNEMP                        float64\n",
       "  EPL_HBURD                        float64\n",
       "  EPL_NOHSDP                       float64\n",
       "  EPL_UNINSUR                      float64\n",
       "  SPL_THEME1                       float64\n",
       "  RPL_THEME1                       float64\n",
       "  EPL_AGE65                        float64\n",
       "  EPL_AGE17                        float64\n",
       "  EPL_DISABL                       float64\n",
       "  EPL_SNGPNT                       float64\n",
       "  EPL_LIMENG                       float64\n",
       "  SPL_THEME2                       float64\n",
       "  RPL_THEME2                       float64\n",
       "  EPL_MINRTY                       float64\n",
       "  SPL_THEME3                       float64\n",
       "  RPL_THEME3                       float64\n",
       "  EPL_MUNIT                        float64\n",
       "  EPL_MOBILE                       float64\n",
       "  EPL_CROWD                        float64\n",
       "  EPL_NOVEH                        float64\n",
       "  EPL_GROUPQ                       float64\n",
       "  SPL_THEME4                       float64\n",
       "  RPL_THEME4                       float64\n",
       "  SPL_THEMES                       float64\n",
       "  RPL_THEMES                       float64\n",
       "  F_POV150                         int16\n",
       "  F_UNEMP                          int16\n",
       "  F_HBURD                          int16\n",
       "  F_NOHSDP                         int16\n",
       "  F_UNINSUR                        int16\n",
       "  F_THEME1                         int16\n",
       "  F_AGE65                          int16\n",
       "  F_AGE17                          int16\n",
       "  F_DISABL                         int16\n",
       "  F_SNGPNT                         int16\n",
       "  F_LIMENG                         int16\n",
       "  F_THEME2                         int16\n",
       "  F_MINRTY                         int16\n",
       "  F_THEME3                         int16\n",
       "  F_MUNIT                          int16\n",
       "  F_MOBILE                         int16\n",
       "  F_CROWD                          int16\n",
       "  F_NOVEH                          int16\n",
       "  F_GROUPQ                         int16\n",
       "  F_THEME4                         int16\n",
       "  F_TOTAL                          int16\n",
       "  E_DAYPOP                         int32\n",
       "  E_NOINT                          int32\n",
       "  M_NOINT                          int32\n",
       "  E_AFAM                           int32\n",
       "  M_AFAM                           int32\n",
       "  E_HISP                           int32\n",
       "  M_HISP                           int32\n",
       "  E_ASIAN                          int32\n",
       "  M_ASIAN                          int32\n",
       "  E_AIAN                           int32\n",
       "  M_AIAN                           int32\n",
       "  E_NHPI                           int32\n",
       "  M_NHPI                           int32\n",
       "  E_TWOMORE                        int32\n",
       "  M_TWOMORE                        int32\n",
       "  E_OTHERRACE                      int32\n",
       "  M_OTHERRACE                      int32\n",
       "  EP_NOINT                         float64\n",
       "  MP_NOINT                         float64\n",
       "  EP_AFAM                          float64\n",
       "  MP_AFAM                          float64\n",
       "  EP_HISP                          float64\n",
       "  MP_HISP                          float64\n",
       "  EP_ASIAN                         float64\n",
       "  MP_ASIAN                         float64\n",
       "  EP_AIAN                          float64\n",
       "  MP_AIAN                          float64\n",
       "  EP_NHPI                          float64\n",
       "  MP_NHPI                          float64\n",
       "  EP_TWOMORE                       float64\n",
       "  MP_TWOMORE                       float64\n",
       "  EP_OTHERRACE                     float64\n",
       "  MP_OTHERRACE                     float64\n",
       "  Shape_Length                     float64\n",
       "  Shape_Area                       float64\n",
       "  geom                             geospatial:geometry\n",
       "  area                             float64\n",
       "  gbifid                           string\n",
       "  datasetkey                       string\n",
       "  occurrenceid                     string\n",
       "  kingdom                          string\n",
       "  phylum                           string\n",
       "  class                            string\n",
       "  order                            string\n",
       "  family                           string\n",
       "  genus                            string\n",
       "  species                          string\n",
       "  infraspecificepithet             string\n",
       "  taxonrank                        string\n",
       "  scientificname                   string\n",
       "  verbatimscientificname           string\n",
       "  verbatimscientificnameauthorship string\n",
       "  countrycode                      string\n",
       "  locality                         string\n",
       "  stateprovince                    string\n",
       "  occurrencestatus                 string\n",
       "  individualcount                  int32\n",
       "  publishingorgkey                 string\n",
       "  decimallatitude                  float64\n",
       "  decimallongitude                 float64\n",
       "  coordinateuncertaintyinmeters    float64\n",
       "  coordinateprecision              float64\n",
       "  elevation                        float64\n",
       "  elevationaccuracy                float64\n",
       "  depth                            float64\n",
       "  depthaccuracy                    float64\n",
       "  eventdate                        timestamp(6)\n",
       "  day                              int32\n",
       "  month                            int32\n",
       "  year                             int32\n",
       "  taxonkey                         int32\n",
       "  specieskey                       int32\n",
       "  basisofrecord                    string\n",
       "  institutioncode                  string\n",
       "  collectioncode                   string\n",
       "  catalognumber                    string\n",
       "  recordnumber                     string\n",
       "  identifiedby                     array<string>\n",
       "  dateidentified                   timestamp(6)\n",
       "  license                          string\n",
       "  rightsholder                     string\n",
       "  recordedby                       array<string>\n",
       "  typestatus                       array<string>\n",
       "  establishmentmeans               string\n",
       "  lastinterpreted                  timestamp(6)\n",
       "  mediatype                        array<string>\n",
       "  issue                            array<string>\n",
       "  geom_right                       geospatial:geometry\n",
       "  h0                               string\n",
       "  h1                               string\n",
       "  h2                               string\n",
       "  h3                               string\n",
       "  h4                               string\n",
       "  h5                               string\n",
       "  h6                               string\n",
       "  h7                               string\n",
       "  h8                               string\n",
       "  h9                               string\n",
       "  h10                              string\n",
       "  h11                              string"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gbif_usa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a6ce4d65-6f93-4725-87fa-29bf413398ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "The four summary theme ranking variables, detailed in the Data Dictionary below, are:\n",
    "• Socioeconomic Status - RPL_THEME1\n",
    "• Household Characteristics - RPL_THEME2\n",
    "• Racial & Ethnic Minority Status - RPL_THEME3\n",
    "• Housing Type & Transportation - RPL_THEME4 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2e85529-348b-4f33-b09d-f8424299dc8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn.objects as so\n",
    "\n",
    "#df = gbif_usa.group_by(_.FIPS).agg(n = _.count().log(), svi = _.RPL_THEMES.mean()).execute()\n",
    "df = gbif_usa.group_by(_.STATE, _.COUNTY).agg(n = _.count() / _.Shape_Area.sum(), svi1 = _.RPL_THEME1.mean(), svi3 = _.RPL_THEME3.mean()).execute()\n",
    "\n",
    "so.Plot(df, x = \"svi1\", y=\"n\", color = \"svi3\").add(so.Dots()).scale(y=\"log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9030d3dc-e2fb-41b7-8fe9-80ee76739b78",
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair as alt\n",
    "\n",
    "alt.Chart(df).mark_point().encode(\n",
    "    x='svi1',\n",
    "    y='n',\n",
    "    color='svi3',\n",
    "    tooltip = ['STATE', 'COUNTY']\n",
    ")\n"
   ]
  }
 ],
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