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Add support for lonboard #588

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3 changes: 3 additions & 0 deletions docs/deckgl.md
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# deckgl module

::: leafmap.deckgl
6 changes: 0 additions & 6 deletions docs/notebooks/82_pmtiles.ipynb
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Expand Up @@ -40,7 +40,6 @@
},
{
"cell_type": "markdown",
"id": "6f3406c5",
"metadata": {},
"source": [
"## Remote PMTiles\n",
Expand Down Expand Up @@ -107,7 +106,6 @@
},
{
"cell_type": "markdown",
"id": "e1166262",
"metadata": {},
"source": [
"### Overture data"
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},
{
"cell_type": "markdown",
"id": "6b9d11d9",
"metadata": {},
"source": [
"### Source Cooperative\n",
Expand All @@ -214,7 +211,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9c6d5f2c",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -227,7 +223,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "2c2cfcf8",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -268,7 +263,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "789cce99",
"metadata": {},
"outputs": [],
"source": [
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156 changes: 156 additions & 0 deletions docs/notebooks/83_vector_viz.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://demo.leafmap.org/lab/index.html?path=notebooks/83_vector_viz.ipynb)\n",
"[![image](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/opengeos/leafmap/blob/master/examples/notebooks/83_vector_viz.ipynb)\n",
"[![image](https://img.shields.io/badge/Open-Planetary%20Computer-black?style=flat&logo=microsoft)](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",
"[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/opengeos/leafmap/blob/master/examples/notebooks/01_leafmap_intro.ipynb)\n",
"[![image](https://mybinder.org/badge_logo.svg)](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
}
1 change: 1 addition & 0 deletions docs/tutorials.md
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Expand Up @@ -96,6 +96,7 @@
80. Visualizing solar radiation data from Google Solar API ([notebook](https://leafmap.org/notebooks/80_solar))
81. Downloading Microsoft and Google Building Footprints ([notebook](https://leafmap.org/notebooks/81_buildings))
82. Visualizing PMTiles with leafmap ([notebook](https://leafmap.org/notebooks/82_pmtiles))
83. Visualizing large vector datasets with lonboard ([notebook](https://leafmap.org/notebooks/83_vector_viz))

## Demo

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1 change: 1 addition & 0 deletions examples/README.md
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80. Visualizing solar radiation data from Google Solar API ([notebook](https://leafmap.org/notebooks/80_solar))
81. Downloading Microsoft and Google Building Footprints ([notebook](https://leafmap.org/notebooks/81_buildings))
82. Visualizing PMTiles with leafmap ([notebook](https://leafmap.org/notebooks/82_pmtiles))
83. Visualizing large vector datasets with lonboard ([notebook](https://leafmap.org/notebooks/83_vector_viz))

## Demo

Expand Down
8 changes: 1 addition & 7 deletions examples/notebooks/82_pmtiles.ipynb
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Expand Up @@ -40,7 +40,6 @@
},
{
"cell_type": "markdown",
"id": "6f3406c5",
"metadata": {},
"source": [
"## Remote PMTiles\n",
Expand Down Expand Up @@ -107,7 +106,6 @@
},
{
"cell_type": "markdown",
"id": "e1166262",
"metadata": {},
"source": [
"### Overture data"
Expand Down Expand Up @@ -203,7 +201,6 @@
},
{
"cell_type": "markdown",
"id": "6b9d11d9",
"metadata": {},
"source": [
"### Source Cooperative\n",
Expand All @@ -214,7 +211,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "9c6d5f2c",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -227,7 +223,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "2c2cfcf8",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -268,7 +263,6 @@
{
"cell_type": "code",
"execution_count": null,
"id": "789cce99",
"metadata": {},
"outputs": [],
"source": [
Expand Down Expand Up @@ -411,7 +405,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
"version": "3.11.5"
}
},
"nbformat": 4,
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