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Browse files- .gitattributes +2 -0
- 20250818_ma_ceramics_map_MINIMAL.ipynb +263 -0
- app.py +191 -0
- ma_major_roads.geojson +0 -0
- ma_pop_density.geojson +3 -0
- ma_tract_income.geojson +3 -0
- requirements.txt +9 -3
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ma_pop_density.geojson filter=lfs diff=lfs merge=lfs -text
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ma_tract_income.geojson filter=lfs diff=lfs merge=lfs -text
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20250818_ma_ceramics_map_MINIMAL.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "70964a01",
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"metadata": {},
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"source": [
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"# Massachusetts Ceramics Map — Minimal Final Notebook\n",
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"\n",
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"This minimal notebook generates the final interactive Folium map for Massachusetts ceramics.\n",
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"Edit the **Config** cell (paths + markers) and run the **Build Map** cell.\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "930fc5db",
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"metadata": {},
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"outputs": [],
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"source": [
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"# --- CONFIG (edit these paths) ---\n",
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"POP_PATH = \"/Users/harshadghodke/GinkgoClayWorks/Studio/Location/ma_pop_density.geojson\"\n",
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"INC_PATH = \"/Users/harshadghodke/GinkgoClayWorks/Studio/Location/ma_tract_income.geojson\"\n",
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"ROADS_PATH = \"/Users/harshadghodke/GinkgoClayWorks/Studio/Location/ma_major_roads.geojson\" # or None\n",
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"OUT_HTML = \"/Users/harshadghodke/GinkgoClayWorks/Studio/Location/ma_income_pop_studio_map.html\"\n",
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"\n",
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"# --- Markers (edit as needed) ---\n",
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"locations = [\n",
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" # Studios\n",
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" {\"label\": \"Community Kiln (Framingham)\", \"lat\": 42.28, \"lon\": -71.42, \"group\": \"Studios\"},\n",
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" {\"label\": \"ClayWorks (Ware)\", \"lat\": 42.26, \"lon\": -72.25, \"group\": \"Studios\"},\n",
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" {\"label\": \"Mudflat Studio (Somerville)\", \"lat\": 42.3973, \"lon\": -71.0979, \"group\": \"Studios\"},\n",
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" {\"label\": \"Commonwealth Clayworks (Somerville)\", \"lat\": 42.37, \"lon\": -71.10, \"group\": \"Studios\"},\n",
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" {\"label\": \"Feet of Clay Pottery (Brookline)\", \"lat\": 42.3429, \"lon\": -71.1231, \"group\": \"Studios\"},\n",
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" {\"label\": \"Clay Lounge (Boston)\", \"lat\": 42.3502, \"lon\": -71.0593, \"group\": \"Studios\"},\n",
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" {\"label\": \"Indigo Fire (Belmont)\", \"lat\": 42.3956, \"lon\": -71.1748, \"group\": \"Studios\"},\n",
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" {\"label\": \"Indigo Fire (Watertown)\", \"lat\": 42.3700, \"lon\": -71.1820, \"group\": \"Studios\"},\n",
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" {\"label\": \"Local Pottery (Norwell)\", \"lat\": 42.1570, \"lon\": -70.8212, \"group\": \"Studios\"},\n",
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" {\"label\": \"Clay Dreaming (Beverly)\", \"lat\": 42.5584, \"lon\": -70.8800, \"group\": \"Studios\"},\n",
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" {\"label\": \"Purple Sage Pottery (Middleton)\", \"lat\": 42.5971, \"lon\": -70.9968, \"group\": \"Studios\"},\n",
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" {\"label\": \"Rainbows Pottery Studio (Boston)\", \"lat\": 42.3505, \"lon\": -71.0780, \"group\": \"Studios\"},\n",
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" {\"label\": \"Potters Place Studio (Sharon)\", \"lat\": 42.12, \"lon\": -71.17, \"group\": \"Studios\"},\n",
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" {\"label\": \"Worcester Center Ceramics\", \"lat\": 42.2659, \"lon\": -71.8013, \"group\": \"Studios\"},\n",
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" {\"label\": \"Easthampton Clay\", \"lat\": 42.2646, \"lon\": -72.6687, \"group\": \"Studios\"},\n",
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" {\"label\": \"Workshop13 ClayWorks (Ware)\", \"lat\": 42.2612, \"lon\": -72.2476, \"group\": \"Studios\"},\n",
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" {\"label\": \"Umbrella Arts Ceramics (Concord)\", \"lat\": 42.4603, \"lon\": -71.3489, \"group\": \"Studios\"},\n",
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" {\"label\": \"FYACS Pottery Studio (Melrose)\", \"lat\": 42.4566, \"lon\": -71.0626, \"group\": \"Studios\"},\n",
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" {\"label\": \"Lexington Arts (Lexington)\", \"lat\": 42.4473, \"lon\": -71.2255, \"group\": \"Studios\"},\n",
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"\n",
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" # Suppliers\n",
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" {\"label\": \"Sheffield Pottery\", \"lat\": 42.1087, \"lon\": -73.3614, \"group\": \"Suppliers\"},\n",
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" {\"label\": \"PSH USA / Pottery Supply House\", \"lat\": 43.4500, \"lon\": -79.6500, \"group\": \"Suppliers\"},\n",
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" {\"label\": \"The Ceramic Shop (PA)\", \"lat\": 40.1220, \"lon\": -75.3392, \"group\": \"Suppliers\"},\n",
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" {\"label\": \"Bailey Pottery (NY)\", \"lat\": 41.9270, \"lon\": -74.0053, \"group\": \"Suppliers\"},\n",
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" {\"label\": \"Rusty Kiln (CT)\", \"lat\": 41.7751, \"lon\": -72.3004, \"group\": \"Suppliers\"},\n",
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" {\"label\": \"Portland Pottery (ME)\", \"lat\": 43.6668, \"lon\": -70.2544, \"group\": \"Suppliers\"},\n",
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"\n",
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" # Artist Hubs\n",
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" {\"label\": \"Cape Cod Potters\", \"lat\": 41.65, \"lon\": -70.25, \"group\": \"Artist Hubs\"},\n",
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" {\"label\": \"Asparagus Valley Pottery Trail\", \"lat\": 42.30, \"lon\": -72.50, \"group\": \"Artist Hubs\"},\n",
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"\n",
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" # Ceramics Schools\n",
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" {\"label\": \"MassArt (Boston)\", \"lat\": 42.3398, \"lon\": -71.0921, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"SMFA at Tufts (Boston)\", \"lat\": 42.3390, \"lon\": -71.0985, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"UMass Amherst\", \"lat\": 42.3954, \"lon\": -72.5199, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"UMass Dartmouth\", \"lat\": 41.5739, \"lon\": -70.2497, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"Westfield State University\", \"lat\": 42.1251, \"lon\": -72.7580, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"Harvard Ceramics Program\", \"lat\": 42.3673, \"lon\": -71.1119, \"group\": \"Ceramics Schools\"},\n",
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" {\"label\": \"Hopkinton Center for the Arts\", \"lat\": 42.2290, \"lon\": -71.5220, \"group\": \"Ceramics Schools\"},\n",
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"\n",
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" # Home Base\n",
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" {\"label\": \"Hopkinton (Home Base)\", \"lat\": 42.23, \"lon\": -71.52, \"group\": \"Reference\"},\n",
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"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "6bb2bfb2",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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| 85 |
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"# Minimal, robust build cell matching your original behavior\n",
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"\n",
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"from pathlib import Path\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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| 90 |
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"import geopandas as gpd\n",
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"import folium\n",
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"from folium import Choropleth, GeoJson, GeoJsonTooltip\n",
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"\n",
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"# Helpers\n",
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"def ensure_epsg4326(gdf):\n",
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" if gdf.crs is None:\n",
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" return gdf.set_crs(4326, allow_override=True)\n",
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| 98 |
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" try:\n",
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" if gdf.crs.to_epsg() != 4326:\n",
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| 100 |
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" return gdf.to_crs(4326)\n",
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" except Exception:\n",
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" pass\n",
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" return gdf\n",
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"\n",
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"def safe_quantile_bins(series, qs=(0, .25, .5, .75, .9, 1)):\n",
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| 106 |
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" vals = series.dropna()\n",
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| 107 |
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" if vals.empty:\n",
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| 108 |
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" return 8\n",
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| 109 |
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" q = vals.quantile(qs).to_numpy()\n",
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| 110 |
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" q = np.unique(q) # strictly increasing for Folium\n",
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| 111 |
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" return q.tolist() if len(q) >= 3 else 8\n",
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"\n",
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| 113 |
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"# --- Load data (and normalize) ---\n",
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| 114 |
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"pop_density = gpd.read_file(POP_PATH)\n",
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| 115 |
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"income = gpd.read_file(INC_PATH)\n",
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"\n",
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| 117 |
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"# Normalize keys/CRS just in case\n",
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| 118 |
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"if \"GEOID_Text\" in pop_density.columns:\n",
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| 119 |
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" pop_density[\"GEOID_Text\"] = pop_density[\"GEOID_Text\"].astype(str)\n",
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| 120 |
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"pop_density = ensure_epsg4326(pop_density)\n",
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"\n",
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| 122 |
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"if \"GEOID\" in income.columns:\n",
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| 123 |
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" income[\"GEOID\"] = income[\"GEOID\"].astype(str)\n",
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| 124 |
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"income = ensure_epsg4326(income)\n",
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"\n",
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| 126 |
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"# Ensure numerics\n",
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| 127 |
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"if \"pop_per_sqmi\" in pop_density.columns:\n",
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| 128 |
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" pop_density[\"pop_per_sqmi\"] = pd.to_numeric(pop_density[\"pop_per_sqmi\"], errors=\"coerce\")\n",
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| 129 |
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"income[\"median_income\"] = pd.to_numeric(income[\"median_income\"], errors=\"coerce\")\n",
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"\n",
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"# --- Define quantile bins (safe) ---\n",
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| 132 |
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"pop_bins = safe_quantile_bins(pop_density[\"pop_per_sqmi\"])\n",
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| 133 |
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"income_bins= safe_quantile_bins(income[\"median_income\"])\n",
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| 134 |
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"\n",
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| 135 |
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"# --- Initialize map ---\n",
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| 136 |
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"m = folium.Map(location=[42.3, -71.8], zoom_start=8, tiles=\"cartodbpositron\")\n",
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| 137 |
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"\n",
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| 138 |
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"# --- Population Choropleth + Tooltip overlay ---\n",
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"Choropleth(\n",
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| 140 |
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" geo_data=pop_density,\n",
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| 141 |
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" name=\"Population Density\",\n",
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" data=pop_density,\n",
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" columns=[\"GEOID_Text\", \"pop_per_sqmi\"],\n",
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" key_on=\"feature.properties.GEOID_Text\",\n",
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" fill_color=\"YlOrRd\",\n",
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| 146 |
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" fill_opacity=0.6,\n",
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| 147 |
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" line_opacity=0.2,\n",
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" bins=pop_bins,\n",
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| 149 |
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" legend_name=\"Population per sq mi\",\n",
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| 150 |
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" # nan_fill_opacity=0.1, # uncomment if your folium version supports it\n",
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| 151 |
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").add_to(m)\n",
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| 152 |
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"\n",
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| 153 |
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"pop_tooltip_layer = folium.FeatureGroup(name=\"Pop Density Tooltips\", show=False)\n",
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| 154 |
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"GeoJson(\n",
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" pop_density,\n",
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| 156 |
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" style_function=lambda x: {\"fillOpacity\": 0, \"color\": \"transparent\"},\n",
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" tooltip=GeoJsonTooltip(\n",
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" fields=[\"GEOID_Text\", \"pop_per_sqmi\"],\n",
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" aliases=[\"Tract:\", \"Pop/SqMi:\"],\n",
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| 160 |
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" localize=True,\n",
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" ),\n",
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").add_to(pop_tooltip_layer)\n",
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"pop_tooltip_layer.add_to(m)\n",
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"\n",
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"# --- Income Choropleth + Tooltip overlay ---\n",
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"Choropleth(\n",
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" geo_data=income,\n",
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" name=\"Median Household Income\",\n",
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" data=income,\n",
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" columns=[\"GEOID\", \"median_income\"],\n",
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" key_on=\"feature.properties.GEOID\",\n",
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" fill_color=\"PuBuGn\",\n",
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| 173 |
+
" fill_opacity=0.6,\n",
|
| 174 |
+
" line_opacity=0.2,\n",
|
| 175 |
+
" bins=income_bins,\n",
|
| 176 |
+
" legend_name=\"Median Household Income ($)\",\n",
|
| 177 |
+
" # nan_fill_opacity=0.1, # uncomment if your folium version supports it\n",
|
| 178 |
+
").add_to(m)\n",
|
| 179 |
+
"\n",
|
| 180 |
+
"income_tooltip_layer = folium.FeatureGroup(name=\"Income Tooltips\", show=False)\n",
|
| 181 |
+
"GeoJson(\n",
|
| 182 |
+
" income,\n",
|
| 183 |
+
" style_function=lambda x: {\"fillOpacity\": 0, \"color\": \"transparent\"},\n",
|
| 184 |
+
" tooltip=GeoJsonTooltip(\n",
|
| 185 |
+
" fields=[\"GEOID\", \"median_income\"],\n",
|
| 186 |
+
" aliases=[\"Tract:\", \"Median Income ($):\"],\n",
|
| 187 |
+
" localize=True,\n",
|
| 188 |
+
" ),\n",
|
| 189 |
+
").add_to(income_tooltip_layer)\n",
|
| 190 |
+
"income_tooltip_layer.add_to(m)\n",
|
| 191 |
+
"\n",
|
| 192 |
+
"# --- Markers grouped by category ---\n",
|
| 193 |
+
"layer_groups = {}\n",
|
| 194 |
+
"for loc in locations:\n",
|
| 195 |
+
" grp = loc[\"group\"]\n",
|
| 196 |
+
" if grp not in layer_groups:\n",
|
| 197 |
+
" layer_groups[grp] = folium.FeatureGroup(name=grp, show=True)\n",
|
| 198 |
+
"\n",
|
| 199 |
+
" color = (\"blue\" if grp == \"Studios\" else\n",
|
| 200 |
+
" \"green\" if grp == \"Suppliers\" else\n",
|
| 201 |
+
" \"purple\" if grp == \"Ceramics Schools\" else\n",
|
| 202 |
+
" \"orange\" if grp == \"Artist Hubs\" else\n",
|
| 203 |
+
" \"black\")\n",
|
| 204 |
+
"\n",
|
| 205 |
+
" folium.Marker(\n",
|
| 206 |
+
" location=[loc[\"lat\"], loc[\"lon\"]],\n",
|
| 207 |
+
" popup=loc[\"label\"],\n",
|
| 208 |
+
" icon=folium.Icon(color=color),\n",
|
| 209 |
+
" ).add_to(layer_groups[grp])\n",
|
| 210 |
+
"\n",
|
| 211 |
+
"for grp in layer_groups.values():\n",
|
| 212 |
+
" grp.add_to(m)\n",
|
| 213 |
+
"\n",
|
| 214 |
+
"# --- Major Roads (optional) ---\n",
|
| 215 |
+
"if ROADS_PATH and Path(ROADS_PATH).exists():\n",
|
| 216 |
+
" folium.GeoJson(\n",
|
| 217 |
+
" ROADS_PATH,\n",
|
| 218 |
+
" name=\"Major Roads\",\n",
|
| 219 |
+
" style_function=lambda x: {\"color\": \"black\", \"weight\": 1, \"opacity\": 0.4},\n",
|
| 220 |
+
" tooltip=folium.GeoJsonTooltip(fields=[\"FULLNAME\"], aliases=[\"Road:\"]),\n",
|
| 221 |
+
" ).add_to(m)\n",
|
| 222 |
+
"\n",
|
| 223 |
+
"# --- Layer Control ---\n",
|
| 224 |
+
"folium.LayerControl(collapsed=False).add_to(m)\n",
|
| 225 |
+
"\n",
|
| 226 |
+
"# --- Save & display ---\n",
|
| 227 |
+
"Path(OUT_HTML).parent.mkdir(parents=True, exist_ok=True)\n",
|
| 228 |
+
"m.save(OUT_HTML)\n",
|
| 229 |
+
"print(f\"[ok] Saved map to: {OUT_HTML}\")\n",
|
| 230 |
+
"m # display inline"
|
| 231 |
+
]
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"cell_type": "code",
|
| 235 |
+
"execution_count": null,
|
| 236 |
+
"id": "c22644b4",
|
| 237 |
+
"metadata": {},
|
| 238 |
+
"outputs": [],
|
| 239 |
+
"source": []
|
| 240 |
+
}
|
| 241 |
+
],
|
| 242 |
+
"metadata": {
|
| 243 |
+
"kernelspec": {
|
| 244 |
+
"display_name": "Python 3",
|
| 245 |
+
"language": "python",
|
| 246 |
+
"name": "python3"
|
| 247 |
+
},
|
| 248 |
+
"language_info": {
|
| 249 |
+
"codemirror_mode": {
|
| 250 |
+
"name": "ipython",
|
| 251 |
+
"version": 3
|
| 252 |
+
},
|
| 253 |
+
"file_extension": ".py",
|
| 254 |
+
"mimetype": "text/x-python",
|
| 255 |
+
"name": "python",
|
| 256 |
+
"nbconvert_exporter": "python",
|
| 257 |
+
"pygments_lexer": "ipython3",
|
| 258 |
+
"version": "3.8.5"
|
| 259 |
+
}
|
| 260 |
+
},
|
| 261 |
+
"nbformat": 4,
|
| 262 |
+
"nbformat_minor": 5
|
| 263 |
+
}
|
app.py
ADDED
|
@@ -0,0 +1,191 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
# -*- coding: utf-8 -*-
|
| 3 |
+
"""
|
| 4 |
+
Created on Mon Aug 18 12:56:57 2025
|
| 5 |
+
|
| 6 |
+
@author: harshadghodke
|
| 7 |
+
"""
|
| 8 |
+
|
| 9 |
+
# app.py
|
| 10 |
+
import streamlit as st
|
| 11 |
+
from pathlib import Path
|
| 12 |
+
import numpy as np
|
| 13 |
+
import pandas as pd
|
| 14 |
+
import geopandas as gpd
|
| 15 |
+
import folium
|
| 16 |
+
from folium import Choropleth, GeoJson, GeoJsonTooltip
|
| 17 |
+
|
| 18 |
+
st.set_page_config(page_title="MA Ceramics Map", layout="wide")
|
| 19 |
+
|
| 20 |
+
DEFAULT_CENTER = (42.30, -71.80)
|
| 21 |
+
DEFAULT_ZOOM = 8
|
| 22 |
+
|
| 23 |
+
def ensure_epsg4326(gdf: gpd.GeoDataFrame) -> gpd.GeoDataFrame:
|
| 24 |
+
if gdf.crs is None:
|
| 25 |
+
return gdf.set_crs(4326, allow_override=True)
|
| 26 |
+
try:
|
| 27 |
+
if gdf.crs.to_epsg() != 4326:
|
| 28 |
+
return gdf.to_crs(4326)
|
| 29 |
+
except Exception:
|
| 30 |
+
pass
|
| 31 |
+
return gdf
|
| 32 |
+
|
| 33 |
+
def safe_quantile_bins(series: pd.Series, qs=(0, .25, .5, .75, .9, 1)):
|
| 34 |
+
vals = series.dropna()
|
| 35 |
+
if vals.empty:
|
| 36 |
+
return 8
|
| 37 |
+
q = vals.quantile(qs).to_numpy()
|
| 38 |
+
q = np.unique(q) # strictly increasing for Folium
|
| 39 |
+
return q.tolist() if len(q) >= 3 else 8
|
| 40 |
+
|
| 41 |
+
def render_folium(m: folium.Map, height=820):
|
| 42 |
+
html = m.get_root().render()
|
| 43 |
+
st.components.v1.html(html, height=height, scrolling=False)
|
| 44 |
+
|
| 45 |
+
# Sidebar config
|
| 46 |
+
st.sidebar.header("Inputs (adjust if you reorganize files)")
|
| 47 |
+
pop_path = st.sidebar.text_input("Population density GeoJSON", value="ma_pop_density.geojson")
|
| 48 |
+
inc_path = st.sidebar.text_input("Income GeoJSON", value="ma_tract_income.geojson")
|
| 49 |
+
roads_path = st.sidebar.text_input("Major roads GeoJSON (optional)", value="ma_major_roads.geojson")
|
| 50 |
+
|
| 51 |
+
show_pop = st.sidebar.checkbox("Show Population Density", value=True)
|
| 52 |
+
show_pop_tooltips = st.sidebar.checkbox("Show Pop Tooltips (Layer toggle)", value=True)
|
| 53 |
+
show_inc = st.sidebar.checkbox("Show Median Income", value=True)
|
| 54 |
+
show_inc_tooltips = st.sidebar.checkbox("Show Income Tooltips (Layer toggle)", value=True)
|
| 55 |
+
show_roads = st.sidebar.checkbox("Show Major Roads", value=True)
|
| 56 |
+
|
| 57 |
+
# Markers (edit here or later move to CSV)
|
| 58 |
+
locations = [
|
| 59 |
+
# Studios
|
| 60 |
+
{"label": "Community Kiln (Framingham)", "lat": 42.28, "lon": -71.42, "group": "Studios"},
|
| 61 |
+
{"label": "ClayWorks (Ware)", "lat": 42.26, "lon": -72.25, "group": "Studios"},
|
| 62 |
+
{"label": "Mudflat Studio (Somerville)", "lat": 42.3973, "lon": -71.0979, "group": "Studios"},
|
| 63 |
+
{"label": "Commonwealth Clayworks (Somerville)", "lat": 42.37, "lon": -71.10, "group": "Studios"},
|
| 64 |
+
{"label": "Feet of Clay Pottery (Brookline)", "lat": 42.3429, "lon": -71.1231, "group": "Studios"},
|
| 65 |
+
{"label": "Clay Lounge (Boston)", "lat": 42.3502, "lon": -71.0593, "group": "Studios"},
|
| 66 |
+
{"label": "Indigo Fire (Belmont)", "lat": 42.3956, "lon": -71.1748, "group": "Studios"},
|
| 67 |
+
{"label": "Indigo Fire (Watertown)", "lat": 42.3700, "lon": -71.1820, "group": "Studios"},
|
| 68 |
+
{"label": "Local Pottery (Norwell)", "lat": 42.1570, "lon": -70.8212, "group": "Studios"},
|
| 69 |
+
{"label": "Clay Dreaming (Beverly)", "lat": 42.5584, "lon": -70.8800, "group": "Studios"},
|
| 70 |
+
{"label": "Purple Sage Pottery (Middleton)", "lat": 42.5971, "lon": -70.9968, "group": "Studios"},
|
| 71 |
+
{"label": "Rainbows Pottery Studio (Boston)", "lat": 42.3505, "lon": -71.0780, "group": "Studios"},
|
| 72 |
+
{"label": "Potters Place Studio (Sharon)", "lat": 42.12, "lon": -71.17, "group": "Studios"},
|
| 73 |
+
{"label": "Worcester Center Ceramics", "lat": 42.2659, "lon": -71.8013, "group": "Studios"},
|
| 74 |
+
{"label": "Easthampton Clay", "lat": 42.2646, "lon": -72.6687, "group": "Studios"},
|
| 75 |
+
{"label": "Workshop13 ClayWorks (Ware)", "lat": 42.2612, "lon": -72.2476, "group": "Studios"},
|
| 76 |
+
{"label": "Umbrella Arts Ceramics (Concord)", "lat": 42.4603, "lon": -71.3489, "group": "Studios"},
|
| 77 |
+
{"label": "FYACS Pottery Studio (Melrose)", "lat": 42.4566, "lon": -71.0626, "group": "Studios"},
|
| 78 |
+
{"label": "Lexington Arts (Lexington)", "lat": 42.4473, "lon": -71.2255, "group": "Studios"},
|
| 79 |
+
# Suppliers
|
| 80 |
+
{"label": "Sheffield Pottery", "lat": 42.1087, "lon": -73.3614, "group": "Suppliers"},
|
| 81 |
+
{"label": "PSH USA / Pottery Supply House", "lat": 43.4500, "lon": -79.6500, "group": "Suppliers"},
|
| 82 |
+
{"label": "The Ceramic Shop (PA)", "lat": 40.1220, "lon": -75.3392, "group": "Suppliers"},
|
| 83 |
+
{"label": "Bailey Pottery (NY)", "lat": 41.9270, "lon": -74.0053, "group": "Suppliers"},
|
| 84 |
+
{"label": "Rusty Kiln (CT)", "lat": 41.7751, "lon": -72.3004, "group": "Suppliers"},
|
| 85 |
+
{"label": "Portland Pottery (ME)", "lat": 43.6668, "lon": -70.2544, "group": "Suppliers"},
|
| 86 |
+
# Artist Hubs
|
| 87 |
+
{"label": "Cape Cod Potters", "lat": 41.65, "lon": -70.25, "group": "Artist Hubs"},
|
| 88 |
+
{"label": "Asparagus Valley Pottery Trail", "lat": 42.30, "lon": -72.50, "group": "Artist Hubs"},
|
| 89 |
+
# Schools
|
| 90 |
+
{"label": "MassArt (Boston)", "lat": 42.3398, "lon": -71.0921, "group": "Ceramics Schools"},
|
| 91 |
+
{"label": "SMFA at Tufts (Boston)", "lat": 42.3390, "lon": -71.0985, "group": "Ceramics Schools"},
|
| 92 |
+
{"label": "UMass Amherst", "lat": 42.3954, "lon": -72.5199, "group": "Ceramics Schools"},
|
| 93 |
+
{"label": "UMass Dartmouth", "lat": 41.5739, "lon": -70.2497, "group": "Ceramics Schools"},
|
| 94 |
+
{"label": "Westfield State University", "lat": 42.1251, "lon": -72.7580, "group": "Ceramics Schools"},
|
| 95 |
+
{"label": "Harvard Ceramics Program", "lat": 42.3673, "lon": -71.1119, "group": "Ceramics Schools"},
|
| 96 |
+
{"label": "Hopkinton Center for the Arts", "lat": 42.2290, "lon": -71.5220, "group": "Ceramics Schools"},
|
| 97 |
+
# Home base
|
| 98 |
+
{"label": "Hopkinton (Home Base)", "lat": 42.23, "lon": -71.52, "group": "Reference"},
|
| 99 |
+
]
|
| 100 |
+
|
| 101 |
+
# Load data
|
| 102 |
+
pop_file = Path(pop_path)
|
| 103 |
+
inc_file = Path(inc_path)
|
| 104 |
+
roads_file = Path(roads_path) if roads_path else None
|
| 105 |
+
|
| 106 |
+
if not pop_file.exists() or not inc_file.exists():
|
| 107 |
+
st.error("Missing input files. Keep GeoJSONs in the repo root or update paths in the sidebar.")
|
| 108 |
+
st.stop()
|
| 109 |
+
|
| 110 |
+
pop = gpd.read_file(pop_file); pop = ensure_epsg4326(pop)
|
| 111 |
+
inc = gpd.read_file(inc_file); inc = ensure_epsg4326(inc)
|
| 112 |
+
|
| 113 |
+
if "GEOID_Text" in pop.columns: pop["GEOID_Text"] = pop["GEOID_Text"].astype(str)
|
| 114 |
+
if "GEOID" in inc.columns: inc["GEOID"] = inc["GEOID"].astype(str)
|
| 115 |
+
if "pop_per_sqmi" in pop.columns: pop["pop_per_sqmi"] = pd.to_numeric(pop["pop_per_sqmi"], errors="coerce")
|
| 116 |
+
inc["median_income"] = pd.to_numeric(inc["median_income"], errors="coerce")
|
| 117 |
+
|
| 118 |
+
# Build map
|
| 119 |
+
m = folium.Map(location=DEFAULT_CENTER, zoom_start=DEFAULT_ZOOM, tiles="cartodbpositron")
|
| 120 |
+
|
| 121 |
+
# Pop layer + tooltip
|
| 122 |
+
|
| 123 |
+
if show_pop:
|
| 124 |
+
pop_bins = safe_quantile_bins(pop["pop_per_sqmi"])
|
| 125 |
+
Choropleth(
|
| 126 |
+
geo_data=pop, name="Population Density", data=pop,
|
| 127 |
+
columns=["GEOID_Text", "pop_per_sqmi"], key_on="feature.properties.GEOID_Text",
|
| 128 |
+
fill_color="YlOrRd", fill_opacity=0.6, line_opacity=0.2, bins=pop_bins,
|
| 129 |
+
legend_name="Population per sq mi",
|
| 130 |
+
).add_to(m)
|
| 131 |
+
|
| 132 |
+
if show_pop_tooltips:
|
| 133 |
+
layer = folium.FeatureGroup(name="Pop Density Tooltips", show=False)
|
| 134 |
+
GeoJson(
|
| 135 |
+
pop,
|
| 136 |
+
style_function=lambda x: {"fillOpacity": 0, "color": "transparent"},
|
| 137 |
+
tooltip=GeoJsonTooltip(
|
| 138 |
+
fields=["GEOID_Text", "pop_per_sqmi"],
|
| 139 |
+
aliases=["Tract:", "Pop/SqMi:"],
|
| 140 |
+
localize=True,
|
| 141 |
+
),
|
| 142 |
+
).add_to(layer)
|
| 143 |
+
layer.add_to(m)
|
| 144 |
+
|
| 145 |
+
# Income layer + tooltip
|
| 146 |
+
if show_inc:
|
| 147 |
+
inc_bins = safe_quantile_bins(inc["median_income"])
|
| 148 |
+
Choropleth(
|
| 149 |
+
geo_data=inc, name="Median Household Income", data=inc,
|
| 150 |
+
columns=["GEOID", "median_income"], key_on="feature.properties.GEOID",
|
| 151 |
+
fill_color="PuBuGn", fill_opacity=0.6, line_opacity=0.2, bins=inc_bins,
|
| 152 |
+
legend_name="Median Household Income ($)",
|
| 153 |
+
).add_to(m)
|
| 154 |
+
|
| 155 |
+
if show_inc_tooltips:
|
| 156 |
+
layer = folium.FeatureGroup(name="Income Tooltips", show=False)
|
| 157 |
+
GeoJson(
|
| 158 |
+
inc,
|
| 159 |
+
style_function=lambda x: {"fillOpacity": 0, "color": "transparent"},
|
| 160 |
+
tooltip=GeoJsonTooltip(
|
| 161 |
+
fields=["GEOID", "median_income"],
|
| 162 |
+
aliases=["Tract:", "Median Income ($):"],
|
| 163 |
+
localize=True,
|
| 164 |
+
),
|
| 165 |
+
).add_to(layer)
|
| 166 |
+
layer.add_to(m)
|
| 167 |
+
|
| 168 |
+
# Markers by group
|
| 169 |
+
groups = {}
|
| 170 |
+
for loc in locations:
|
| 171 |
+
g = loc["group"]
|
| 172 |
+
if g not in groups:
|
| 173 |
+
groups[g] = folium.FeatureGroup(name=g, show=True)
|
| 174 |
+
color = ("blue" if g == "Studios" else "green" if g == "Suppliers" else
|
| 175 |
+
"purple" if g == "Ceramics Schools" else "orange" if g == "Artist Hubs" else "black")
|
| 176 |
+
folium.Marker([loc["lat"], loc["lon"]], popup=loc["label"], icon=folium.Icon(color=color)).add_to(groups[g])
|
| 177 |
+
for layer in groups.values():
|
| 178 |
+
layer.add_to(m)
|
| 179 |
+
|
| 180 |
+
# Optional roads
|
| 181 |
+
if roads_file and roads_file.exists() and show_roads:
|
| 182 |
+
folium.GeoJson(
|
| 183 |
+
str(roads_file), name="Major Roads",
|
| 184 |
+
style_function=lambda x: {"color": "black", "weight": 1, "opacity": 0.4},
|
| 185 |
+
tooltip=GeoJsonTooltip(fields=["FULLNAME"], aliases=["Road:"]),
|
| 186 |
+
).add_to(m)
|
| 187 |
+
|
| 188 |
+
folium.LayerControl(collapsed=False).add_to(m)
|
| 189 |
+
|
| 190 |
+
st.markdown("### Massachusetts Ceramics Map")
|
| 191 |
+
render_folium(m)
|
ma_major_roads.geojson
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
ma_pop_density.geojson
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eed9af25c19a4ef0f827ddd8e644c66ee35477198c7eec6c309f2cf74744b0c0
|
| 3 |
+
size 37266790
|
ma_tract_income.geojson
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:647bcaac7121b1ba82c32e6871b404723281fcab53bfa4929333fe393a27fa93
|
| 3 |
+
size 12546077
|
requirements.txt
CHANGED
|
@@ -1,3 +1,9 @@
|
|
| 1 |
-
|
| 2 |
-
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
streamlit>=1.36
|
| 2 |
+
geopandas>=0.13
|
| 3 |
+
folium>=0.14
|
| 4 |
+
pandas>=2.0
|
| 5 |
+
numpy>=1.24
|
| 6 |
+
fiona>=1.9
|
| 7 |
+
shapely>=2.0
|
| 8 |
+
pyproj>=3.6
|
| 9 |
+
rtree>=1.0
|