{ "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=notebooks/15_openstreetmap.ipynb)\n", "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/leafmap/blob/master/docs/notebooks/15_openstreetmap.ipynb)\n", "[![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/leafmap/HEAD)\n", "\n", "**Downloading OpenStreetMap data with a single line of code**\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" ] }, { "cell_type": "code", "execution_count": null, "id": "2", "metadata": {}, "outputs": [], "source": [ "# !pip install geopandas osmnx" ] }, { "cell_type": "code", "execution_count": null, "id": "3", "metadata": {}, "outputs": [], "source": [ "import leafmap" ] }, { "cell_type": "markdown", "id": "4", "metadata": {}, "source": [ "Add OSM data of place(s) by name or ID to the map. Note that the leafmap custom layer control does not support GeoJSON, we need to use the ipyleaflet built-in layer control." ] }, { "cell_type": "code", "execution_count": null, "id": "5", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "m.add_osm_from_geocode(\"New York City\", layer_name=\"NYC\")\n", "m" ] }, { "cell_type": "code", "execution_count": null, "id": "6", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "m.add_osm_from_geocode(\"Chicago, Illinois\", layer_name=\"Chicago, IL\")\n", "m" ] }, { "cell_type": "markdown", "id": "7", "metadata": {}, "source": [ "Show OSM feature tags.\n", "\n", "https://wiki.openstreetmap.org/wiki/Map_features" ] }, { "cell_type": "code", "execution_count": null, "id": "8", "metadata": {}, "outputs": [], "source": [ "# leafmap.osm_tags_list()" ] }, { "cell_type": "markdown", "id": "9", "metadata": {}, "source": [ "Add OSM entities within some distance N, S, E, W of address to the map." ] }, { "cell_type": "code", "execution_count": null, "id": "10", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "m.add_osm_from_address(\n", " address=\"New York City\", tags={\"amenity\": \"bar\"}, dist=1500, layer_name=\"NYC bars\"\n", ")\n", "m" ] }, { "cell_type": "code", "execution_count": null, "id": "11", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "m.add_osm_from_address(\n", " address=\"New York City\",\n", " tags={\"landuse\": [\"retail\", \"commercial\"], \"building\": True},\n", " dist=1000,\n", " layer_name=\"NYC buildings\",\n", ")\n", "m" ] }, { "cell_type": "markdown", "id": "12", "metadata": {}, "source": [ "Add OSM entities within a N, S, E, W bounding box to the map." ] }, { "cell_type": "code", "execution_count": null, "id": "13", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "north, south, east, west = 40.7551, 40.7454, -73.9738, -73.9965\n", "m.add_osm_from_bbox(\n", " north, south, east, west, tags={\"amenity\": \"bar\"}, layer_name=\"NYC bars\"\n", ")\n", "m" ] }, { "cell_type": "markdown", "id": "14", "metadata": {}, "source": [ "Add OSM entities within some distance N, S, E, W of a point to the map." ] }, { "cell_type": "code", "execution_count": null, "id": "15", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(\n", " center=[46.7808, -96.0156], zoom=12, toolbar_control=False, layers_control=True\n", ")\n", "m.add_osm_from_point(\n", " center_point=(46.7808, -96.0156),\n", " tags={\"natural\": \"water\"},\n", " dist=10000,\n", " layer_name=\"Lakes\",\n", ")\n", "m" ] }, { "cell_type": "code", "execution_count": null, "id": "16", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(\n", " center=[39.9170, 116.3908], zoom=15, toolbar_control=False, layers_control=True\n", ")\n", "m.add_osm_from_point(\n", " center_point=(39.9170, 116.3908),\n", " tags={\"building\": True, \"natural\": \"water\"},\n", " dist=1000,\n", " layer_name=\"Beijing\",\n", ")\n", "m" ] }, { "cell_type": "markdown", "id": "17", "metadata": {}, "source": [ "Add OSM entities within the current map view to the map." ] }, { "cell_type": "code", "execution_count": null, "id": "18", "metadata": {}, "outputs": [], "source": [ "m = leafmap.Map(toolbar_control=False, layers_control=True)\n", "m.set_center(-73.9854, 40.7500, 16)\n", "m" ] }, { "cell_type": "markdown", "id": "19", "metadata": {}, "source": [ "The `add_osm_from_view()` is only available for the ipyleaflet plotting backend." ] }, { "cell_type": "code", "execution_count": null, "id": "20", "metadata": {}, "outputs": [], "source": [ "# m.add_osm_from_view(tags={\"amenity\": \"bar\", \"building\": True}, layer_name=\"New York\")" ] }, { "cell_type": "markdown", "id": "21", "metadata": {}, "source": [ "Create a GeoPandas GeoDataFrame from place." ] }, { "cell_type": "code", "execution_count": null, "id": "22", "metadata": {}, "outputs": [], "source": [ "gdf = leafmap.osm_gdf_from_place(\"New York City\", tags={\"amenity\": \"bar\"})\n", "gdf" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }