#!/usr/bin/env python
# coding: utf-8

# [![image](https://jupyterlite.rtfd.io/en/latest/_static/badge.svg)](https://demo.leafmap.org/lab/index.html?path=notebooks/97_overture_data.ipynb)
# [![image](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/opengeos/leafmap/blob/master/docs/notebooks/97_overture_data.ipynb)
# [![image](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/opengeos/leafmap/HEAD)
# 
# **Download Overture Maps Data**
# 
# Uncomment the following line to install [leafmap](https://leafmap.org) if needed.

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# %pip install -U leafmap overturemaps


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import leafmap


# Create an interactive map.

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m = leafmap.Map(center=[36.120725, -115.203795], zoom=17)
m.add_basemap("SATELLITE")
m


# Draw a rectangle on the map to download the data within the rectangle.

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if m.user_roi is not None:
    bbox = m.user_roi_coords()
else:
    bbox = [-115.2081, 36.119, -115.1994, 36.1226]


# Download Overature Maps building data.

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columns = ["id", "height", "geometry"]
output = "buildings.geojson"
buildings_gdf = leafmap.get_overture_data(
    "building", bbox=bbox, columns=columns, output=output
)


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m = leafmap.Map(center=[36.120725, -115.203795], zoom=17)
m.add_basemap("SATELLITE")
m.add_gdf(buildings_gdf, layer_name="Buildings")


# Download Overature Maps transportation data.

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output = "roads.geojson"
columns = ["id", "subtype", "class", "geometry"]
roads_gdf = leafmap.get_overture_data(
    "segment", bbox=bbox, columns=columns, output=output
)


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m.add_gdf(roads_gdf, layer_name="Roads", style={"color": "red", "weight": 2})
m


# The overture maps data type can be one of the following:
# 
# address|building|building_part|division|division_area|division_boundary|place|segment|connector|infrastructure|land|land_cover|land_use|water

# ![image](https://github.com/user-attachments/assets/e584348b-5e36-425b-9d39-8f436b7477a3)