the maps work, still working on the stats

app.py

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+import streamlit as st
+import streamlit.components.v1 as components
+import base64
+import leafmap.maplibregl as leafmap
+import altair as alt
+import ibis
+from ibis import _
+import ibis.selectors as s
+
+from typing import Optional
+def to_streamlit(
+    self,
+    width: Optional[int] = None,
+    height: Optional[int] = 600,
+    scrolling: Optional[bool] = False,
+    **kwargs,
+    ):
+
+    try:
+        import streamlit.components.v1 as components
+        import base64
+
+        raw_html = self.to_html().encode("utf-8")
+        raw_html = base64.b64encode(raw_html).decode()
+        return components.iframe(
+            f"data:text/html;base64,{raw_html}",
+            width=width,
+            height=height,
+            scrolling=scrolling,
+            **kwargs,
+        )
+
+    except Exception as e:
+        raise Exception(e)
+
+
+
+ca_pmtiles = "https://data.source.coop/cboettig/ca30x30/ca_areas.pmtiles"
+# ca_pmtiles = "ca_areas.pmtiles"
+
+# ca_parquet = "https://data.source.coop/cboettig/ca30x30/ca_areas.parquet"
+ca_parquet = "ca_areas.parquet"
+
+ca_area_acres = 1.014e8 #acres 
+
+style_choice = "GAP Status Code"
+# style_choice = "Easement"
+# style_choice = "Year"
+
+con = ibis.duckdb.connect()
+ca = (con
+      .read_parquet(ca_parquet)
+      .cast({"SHAPE": "geometry"})
+      .mutate(
+          area=_.SHAPE.area())
+      # .head()
+     )
+
+# print(ca.schema())
+
+# ca = ca.filter(ca.Release_Year == 2024)
+
+private_color = "#DE881E" # orange #"#850101" # red
+tribal_color = "#BF40BF" # purple
+mixed_color = "#005a00" # green
+public_color = "#3388ff" # blue
+year2023_color = "#26542C" # green
+year2024_color = "#F3AB3D" # orange 
+
+
+
+
+def summary_table(column, colors):
+    df = (ca
+        # .rename(area = "area_square_meters")
+        .group_by(column)
+        .aggregate(hectares_protected =  (_.area.sum() / 10000).round(),
+                   percent_protected =  100 * _.Acres.sum() / ca_area_acres
+                  )
+        .mutate(percent_protected = _.percent_protected.round(1),
+               )
+        .inner_join(colors, column)
+        )
+    df = df.to_pandas()
+    df[column] = df[column].astype(str)
+    return df
+
+
+def area_plot(df, column):
+    base = alt.Chart(df).encode(
+        alt.Theta("percent_protected:Q").stack(True),
+    )
+    pie = ( base
+           .mark_arc(innerRadius= 40, outerRadius=100)
+           .encode(alt.Color("color:N").scale(None).legend(None),
+                   tooltip=['percent_protected', 'hectares_protected', column])
+    )
+    text = ( base
+            .mark_text(radius=80, size=14, color="white")
+            .encode(text = column + ":N")
+    )
+    plot = pie # pie + text
+    return plot.properties(width="container", height=300)
+
+
+
+def pad_style(paint, alpha):
+    return {
+    "version": 8,
+    "sources": {
+        "ca": {
+            "type": "vector",
+            "url": "pmtiles://" + ca_pmtiles,
+        }},
+    "layers": [{
+            "id": "layer1",
+            "source": "ca",
+            "source-layer": "CA_Cons_Areas_parentlyr_Merge_ecofix",
+            "type": "fill",
+            "paint": {
+                "fill-color": paint,
+                "fill-opacity": alpha
+            }
+        }]}
+
+manager = {
+            'property': 'cpad_MNG_AG_LEV',
+            'type': 'categorical',
+            'stops': [
+                ['Federal', "darkblue"],
+                ['State', public_color],
+                ['Non Profit', "lightblue"],
+                ['Special District', "darkgreen"],
+                ['', "grey"],
+                ['Joint', "green"],
+                ['Tribal', tribal_color],
+                ['Private', "darkred"],
+                ['City', "pink"],
+                ['County', "blue"],
+                ['Home Owners Association', "lightgreen"]
+            ]
+            }
+
+
+
+
+easement = {
+            'property': 'Easement',
+            'type': 'categorical',
+            'stops': [
+                [0, public_color],
+                [1, private_color]
+            ]
+            }
+
+
+year = {
+            'property': 'Release_Year',
+            'type': 'categorical',
+            'stops': [
+                [2023, year2023_color],
+                [2024, year2024_color]
+            ]
+            }
+
+
+access = {
+    'property': 'ACCESS_TYP',
+    'type': 'categorical',
+    'stops': [
+        ['Open Access', public_color],
+        ['No Public Access', private_color],
+        ['Unknown Access', "grey"],
+        ['Restricted Access', tribal_color]
+    ]
+}
+
+
+
+gap = {
+        'property': 'reGAP',
+        'type': 'categorical',
+        'stops': [
+            [1, "#26633d"],
+            [2, "#879647"],
+            [3, "#BBBBBB"],
+            [4, "#F8F8F8"]
+        ]
+        }
+
+
+style_options = {
+                    "GAP Status Code": gap,
+                    "Management Agency": manager,
+                    "Easement": easement,
+                    "Public Access": access,
+                    "Year": year
+                    }
+
+
+
+st.set_page_config(layout="wide", page_title="CA Protected Areas Explorer", page_icon=":globe:")
+
+'''
+# CA 30X30 Prototype
+
+'''
+
+m = leafmap.Map(style="positron")
+
+with st.sidebar:
+
+    if st.toggle("Protected Areas", True):
+        
+        style_choice = st.radio("Color by:", style_options)
+        alpha = st.slider("transparency", 0.0, 1.0, 0.5)
+        style = pad_style(style_options[style_choice], alpha)
+        m.add_pmtiles(ca_pmtiles, style=style, visible=True, opacity=alpha, tooltip=True)
+
+
+select_column = {
+                "GAP Status Code": "reGAP",
+                "Management Agency": "cpad_MNG_AG_LEV",
+                "Easement": "Easement",
+                "Year": "Release_Year",
+                "Public Access": "ACCESS_TYP"}
+
+
+
+
+column = select_column[style_choice]
+
+select_colors = {
+                "Management Agency": manager["stops"],
+                "Easement": easement["stops"],
+                "Public Access": access["stops"],
+                "Year": year["stops"],
+                "GAP Status Code": gap["stops"]}
+
+colors = (ibis
+          .memtable(select_colors[style_choice], columns = [column, "color"])
+          .to_pandas()
+         )
+
+main = st.container()
+    
+with main:
+    map_col, stats_col = st.columns([2,1])
+
+    with map_col:
+        to_streamlit(m, height=700)
+    df = summary_table(column, colors)
+    total_percent = df.percent_protected.sum().round(1)
+    with stats_col:
+        with st.container():
+            f"{total_percent}% CA Covered"
+            st.altair_chart(area_plot(df, column), use_container_width=True)
+
+
+
+st.divider()
+footer = st.container()
+