82 pmtiles

Visualizing PMTiles with leafmap

PMTiles is a single-file archive format for tiled data. A PMTiles archive can be hosted on a commodity storage platform such as S3, and enables low-cost, zero-maintenance map applications that are "serverless" - free of a custom tile backend or third party provider.

The PMTiles functionality for leafmap is based on the folium-pmtiles package. Credits to Jt Miclat.

In [1]:

# %pip install -U leafmap pmtiles

# %pip install -U leafmap pmtiles

In [2]:

import leafmap.foliumap as leafmap

import leafmap.foliumap as leafmap

Remote PMTiles¶

Protomaps sample data¶

In [3]:

url = "https://open.gishub.org/data/pmtiles/protomaps_firenze.pmtiles"
metadata = leafmap.pmtiles_metadata(url)
print(f"layer names: {metadata['layer_names']}")
print(f"bounds: {metadata['bounds']}")

url = "https://open.gishub.org/data/pmtiles/protomaps_firenze.pmtiles" metadata = leafmap.pmtiles_metadata(url) print(f"layer names: {metadata['layer_names']}") print(f"bounds: {metadata['bounds']}")

layer names: ['earth', 'natural', 'land', 'water', 'physical_line', 'buildings', 'physical_point', 'places', 'roads', 'transit', 'pois', 'boundaries', 'mask']
bounds: [11.154026, 43.7270125, 11.3289395, 43.8325455]

In [4]:

m = leafmap.Map()

style = {
    "version": 8,
    "sources": {
        "example_source": {
            "type": "vector",
            "url": "pmtiles://" + url,
            "attribution": "PMTiles",
        }
    },
    "layers": [
        {
            "id": "buildings",
            "source": "example_source",
            "source-layer": "landuse",
            "type": "fill",
            "paint": {"fill-color": "steelblue"},
        },
        {
            "id": "roads",
            "source": "example_source",
            "source-layer": "roads",
            "type": "line",
            "paint": {"line-color": "black"},
        },
    ],
}

# style = leafmap.pmtiles_style(url)  # Use default style

m.add_pmtiles(
    url, name="PMTiles", style=style, overlay=True, show=True, zoom_to_layer=True
)
m

m = leafmap.Map() style = { "version": 8, "sources": { "example_source": { "type": "vector", "url": "pmtiles://" + url, "attribution": "PMTiles", } }, "layers": [ { "id": "buildings", "source": "example_source", "source-layer": "landuse", "type": "fill", "paint": {"fill-color": "steelblue"}, }, { "id": "roads", "source": "example_source", "source-layer": "roads", "type": "line", "paint": {"line-color": "black"}, }, ], } # style = leafmap.pmtiles_style(url) # Use default style m.add_pmtiles( url, name="PMTiles", style=style, overlay=True, show=True, zoom_to_layer=True ) m

Out[4]:

Source Cooperative¶

Google-Microsoft Open Buildings - combined by VIDA

In [5]:

url = "https://data.source.coop/vida/google-microsoft-open-buildings/pmtiles/go_ms_building_footprints.pmtiles"
metadata = leafmap.pmtiles_metadata(url)
print(f"layer names: {metadata['layer_names']}")
print(f"bounds: {metadata['bounds']}")

url = "https://data.source.coop/vida/google-microsoft-open-buildings/pmtiles/go_ms_building_footprints.pmtiles" metadata = leafmap.pmtiles_metadata(url) print(f"layer names: {metadata['layer_names']}") print(f"bounds: {metadata['bounds']}")

layer names: ['building_footprints']
bounds: [-160.221701, -55.9756776, 166.709685, 74.7731168]

In [6]:

m = leafmap.Map(center=[20, 0], zoom=2, height="800px")
m.add_basemap("CartoDB.DarkMatter")
m.add_basemap("Esri.WorldImagery", show=False)

style = {
    "version": 8,
    "sources": {
        "example_source": {
            "type": "vector",
            "url": "pmtiles://" + url,
            "attribution": "PMTiles",
        }
    },
    "layers": [
        {
            "id": "buildings",
            "source": "example_source",
            "source-layer": "building_footprints",
            "type": "fill",
            "paint": {"fill-color": "#3388ff", "fill-opacity": 0.5},
        },
    ],
}

# style = leafmap.pmtiles_style(url)  # Use default style

m.add_pmtiles(
    url, name="Buildings", style=style, overlay=True, show=True, zoom_to_layer=False
)

html = "Source: <a href='https://beta.source.coop/repositories/vida/google-microsoft-open-buildings/description' target='_blank'>source.coop</a>"
m.add_html(html, position="bottomright")

m

m = leafmap.Map(center=[20, 0], zoom=2, height="800px") m.add_basemap("CartoDB.DarkMatter") m.add_basemap("Esri.WorldImagery", show=False) style = { "version": 8, "sources": { "example_source": { "type": "vector", "url": "pmtiles://" + url, "attribution": "PMTiles", } }, "layers": [ { "id": "buildings", "source": "example_source", "source-layer": "building_footprints", "type": "fill", "paint": {"fill-color": "#3388ff", "fill-opacity": 0.5}, }, ], } # style = leafmap.pmtiles_style(url) # Use default style m.add_pmtiles( url, name="Buildings", style=style, overlay=True, show=True, zoom_to_layer=False ) html = "Source: source.coop" m.add_html(html, position="bottomright") m

Out[6]:

In [7]:

m.save("buildings.html")

m.save("buildings.html")

Local PMTiles¶

tippecanoe is required to convert vector data to pmtiles. Install it with conda install -c conda-forge tippecanoe.

Download building footprints of Derna, Libya.

In [8]:

url = "https://raw.githubusercontent.com/opengeos/open-data/main/datasets/libya/Derna_buildings.geojson"
leafmap.download_file(url, "buildings.geojson")

url = "https://raw.githubusercontent.com/opengeos/open-data/main/datasets/libya/Derna_buildings.geojson" leafmap.download_file(url, "buildings.geojson")

Downloading...
From: https://raw.githubusercontent.com/opengeos/open-data/main/datasets/libya/Derna_buildings.geojson
To: /home/runner/work/leafmap/leafmap/docs/notebooks/buildings.geojson

  0%|          | 0.00/2.77M [00:00<?, ?B/s]

9.96MB [00:00, 93.4MB/s]                   

12.8MB [00:00, 111MB/s] 

Out[8]:

'/home/runner/work/leafmap/leafmap/docs/notebooks/buildings.geojson'

Convert vector to PMTiles.

In [9]:

pmtiles = "buildings.pmtiles"
leafmap.geojson_to_pmtiles(
    "buildings.geojson", pmtiles, layer_name="buildings", overwrite=True, quiet=True
)

pmtiles = "buildings.pmtiles" leafmap.geojson_to_pmtiles( "buildings.geojson", pmtiles, layer_name="buildings", overwrite=True, quiet=True )

Error: tippecanoe is not installed.
You can install it using conda with the following command:
conda install -c conda-forge tippecanoe

Start a HTTP Sever

In [10]:

leafmap.start_server(port=8000)

leafmap.start_server(port=8000)

In [11]:

url = f"http://127.0.0.1:8000/{pmtiles}"
# leafmap.pmtiles_metadata(url)

url = f"http://127.0.0.1:8000/{pmtiles}" # leafmap.pmtiles_metadata(url)

Display the PMTiles on the map.

In [12]:

m = leafmap.Map()

style = {
    "version": 8,
    "sources": {
        "example_source": {
            "type": "vector",
            "url": "pmtiles://" + url,
            "attribution": "PMTiles",
        }
    },
    "layers": [
        {
            "id": "buildings",
            "source": "example_source",
            "source-layer": "buildings",
            "type": "fill",
            "paint": {"fill-color": "#3388ff", "fill-opacity": 0.5},
        },
    ],
}

# style = leafmap.pmtiles_style(url)  # Use default style

m.add_pmtiles(url, name="Buildings", show=True, zoom_to_layer=True, style=style)
m

m = leafmap.Map() style = { "version": 8, "sources": { "example_source": { "type": "vector", "url": "pmtiles://" + url, "attribution": "PMTiles", } }, "layers": [ { "id": "buildings", "source": "example_source", "source-layer": "buildings", "type": "fill", "paint": {"fill-color": "#3388ff", "fill-opacity": 0.5}, }, ], } # style = leafmap.pmtiles_style(url) # Use default style m.add_pmtiles(url, name="Buildings", show=True, zoom_to_layer=True, style=style) m

HTTPConnectionPool(host='127.0.0.1', port=8000): Max retries exceeded with url: /buildings.pmtiles (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f8b325e6270>: Failed to establish a new connection: [Errno 111] Connection refused'))

Out[12]: