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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "[](https://demo.leafmap.org/lab/index.html?path=notebooks/83_vector_viz.ipynb)\n", | ||
| "[](https://studiolab.sagemaker.aws/import/github/opengeos/leafmap/blob/master/examples/notebooks/83_vector_viz.ipynb)\n", | ||
| "[](https://pccompute.westeurope.cloudapp.azure.com/compute/hub/user-redirect/git-pull?repo=https://github.com/opengeos/leafmap&urlpath=lab/tree/leafmap/examples/notebooks/83_vector_viz.ipynb&branch=master)\n", | ||
| "[](https://githubtocolab.com/opengeos/leafmap/blob/master/examples/notebooks/01_leafmap_intro.ipynb)\n", | ||
| "[](https://gishub.org/leafmap-binder)\n", | ||
| "\n", | ||
| "**Visualizing large vector datasets with lonboard**\n", | ||
| "\n", | ||
| "This notebook demonstrates how to visualize large vector datasets with [lonboard](https://github.com/developmentseed/lonboard). Please note that lonboard does not support Visual Studio Code's interactive notebook yet. You will need to run this notebook in Jupyter Notebook or JupyterLab.\n", | ||
| "\n", | ||
| "Uncomment the following line to install [leafmap](https://leafmap.org) if needed." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "# %pip install -U leafmap lonboard" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "import leafmap.deckgl as leafmap\n", | ||
| "import geopandas as gpd" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Download sample datasets." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "url = \"https://open.gishub.org/data/duckdb/nyc_data.zip\"\n", | ||
| "leafmap.download_file(url, unzip=True)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Create an interactive map." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "m = leafmap.Map(center=[20, 0], zoom=1.2)\n", | ||
| "m" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Add GeoDataFrame." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "streets = gpd.read_file('nyc_streets.shp')\n", | ||
| "m.add_gdf(streets, zoom_to_layer=True, pickable=True, get_width=5)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Add any vector format supported by GeoPandas." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "m.add_vector('nyc_subway_stations.shp', get_radius=10, get_fill_color=[255, 0, 0, 180])" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "markdown", | ||
| "metadata": {}, | ||
| "source": [ | ||
| "Change layer properties." | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": { | ||
| "tags": [] | ||
| }, | ||
| "outputs": [], | ||
| "source": [ | ||
| "m.layers[-1].get_fill_color = [0, 0, 255, 255]" | ||
| ] | ||
| } | ||
| ], | ||
| "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": "3.11.5" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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