Add notebook for mapping housing prices (#1002)

* Add notebook for mapping housing prices

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docs/maplibre/housing_prices.ipynb

@@ -0,0 +1,177 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0",
+   "metadata": {},
+   "source": [
+    "[![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://demo.leafmap.org/lab/index.html?path=maplibre/housing_prices.ipynb)\n",
+    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/leafmap/blob/master/docs/maplibre/housing_prices.ipynb)\n",
+    "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/leafmap/HEAD)\n",
+    "\n",
+    "**Mapping US Housing Prices by County**\n",
+    "\n",
+    "Uncomment the following line to install [leafmap](https://leafmap.org) if needed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %pip install \"leafmap[maplibre]\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "import leafmap.maplibregl as leafmap"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geojson = \"https://github.com/opengeos/datasets/releases/download/us/zillow_home_value_by_county.geojson\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gdf = gpd.read_file(geojson)\n",
+    "gdf.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "column = \"2024-10-31\"\n",
+    "data = gdf[[\"RegionName\", \"State\", column, \"geometry\"]]\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6",
+   "metadata": {},
+   "source": [
+    "Available classification schemes: \n",
+    "* BoxPlot\n",
+    "* EqualInterval\n",
+    "* FisherJenks\n",
+    "* FisherJenksSampled\n",
+    "* HeadTailBreaks\n",
+    "* JenksCaspall\n",
+    "* JenksCaspallForced\n",
+    "* JenksCaspallSampled\n",
+    "* MaxP\n",
+    "* MaximumBreaks\n",
+    "* NaturalBreaks\n",
+    "* Quantiles\n",
+    "* Percentiles\n",
+    "* StdMean\n",
+    "* UserDefined"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = leafmap.Map(style=\"liberty\", pitch=60)\n",
+    "first_symbol_id = m.find_first_symbol_layer()[\"id\"]\n",
+    "m.add_data(\n",
+    "    data,\n",
+    "    column=column,\n",
+    "    scheme=\"Quantiles\",\n",
+    "    cmap=\"Blues\",\n",
+    "    legend_title=\"Median Home Value\",\n",
+    "    name=\"Home value\",\n",
+    "    before_id=first_symbol_id,\n",
+    "    extrude=True,\n",
+    "    scale_factor=3,\n",
+    ")\n",
+    "m.add_layer_control()\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8",
+   "metadata": {},
+   "source": [
+    "![image](https://github.com/user-attachments/assets/9052e391-a26a-4a75-9ffe-d4abac3c0fce)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "m = leafmap.Map(style=\"liberty\")\n",
+    "m.add_data(\n",
+    "    data,\n",
+    "    column=column,\n",
+    "    scheme=\"Quantiles\",\n",
+    "    cmap=\"Blues\",\n",
+    "    legend_title=\"Median Home Value\",\n",
+    "    name=\"Home value\",\n",
+    "    before_id=first_symbol_id,\n",
+    ")\n",
+    "m.add_layer_control()\n",
+    "m"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "10",
+   "metadata": {},
+   "source": [
+    "![image](https://github.com/user-attachments/assets/b44338cf-0e5a-420b-b7c0-ff9fa6896943)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

docs/maplibre/overview.md

@@ -339,6 +339,12 @@ Visualize earthquake frequency by location using a heatmap layer.
 
 [![](https://i.imgur.com/OLCRPKj.png)](https://leafmap.org/maplibre/heatmap_layer)
 
+## Visualize US median housing prices by county
+
+Visualize US median housing prices by county using a choropleth map.
+
+[![](https://github.com/user-attachments/assets/9052e391-a26a-4a75-9ffe-d4abac3c0fce)](https://leafmap.org/maplibre/housing_prices)
+
 ## Display a non-interactive map
 
 Disable interactivity to create a static map.

mkdocs.yml

@@ -200,6 +200,7 @@ nav:
           - maplibre/google_earth_engine.ipynb
           - maplibre/gps_trace.ipynb
           - maplibre/heatmap_layer.ipynb
+          - maplibre/housing_prices.ipynb
           - maplibre/interactive_false.ipynb
           - maplibre/jump_to.ipynb
           - maplibre/language_switch.ipynb