basemaps module¶

Module for basemaps.

Each basemap is defined as an item in the basemaps dictionary.

For example, to access Google basemaps, users first need to get a Google Maps API key from https://bit.ly/3sw0THG. Then, set the environment variable using geemap.set_api_key(). Then Google basemaps can be accessed using:

* `basemaps['ROADMAP']`
* `basemaps['SATELLITE']`
* `basemaps['TERRAIN']`
* `basemaps['HYBRID']`

More WMS basemaps can be found at the following websites:

USGS National Map: https://viewer.nationalmap.gov/services/
MRLC NLCD Land Cover data: https://viewer.nationalmap.gov/services/
FWS NWI Wetlands data: https://www.fws.gov/wetlands/Data/Web-Map-Services.html

`get_xyz_dict(free_only=True, france=False)` ¶

Returns a dictionary of xyz services.

Parameters:

Name	Type	Description	Default
`free_only`	`bool`	Whether to return only free xyz tile services that do not require an access token. Defaults to True.	`True`
`france`	`bool`	Whether to include Geoportail France basemaps. Defaults to False.	`False`

Returns:

Type	Description
`dict`	A dictionary of xyz services.

Source code in leafmap/basemaps.py

def get_xyz_dict(free_only=True, france=False):
    """Returns a dictionary of xyz services.

    Args:
        free_only (bool, optional): Whether to return only free xyz tile
            services that do not require an access token. Defaults to True.
        france (bool, optional): Whether to include Geoportail France basemaps.
            Defaults to False.

    Returns:
        dict: A dictionary of xyz services.
    """
    xyz_bunch = xyzservices.providers

    if free_only:
        xyz_bunch = xyz_bunch.filter(requires_token=False)
    if not france:
        xyz_bunch = xyz_bunch.filter(
            function=lambda tile: "france" not in dict(tile)["name"].lower()
        )

    xyz_dict = xyz_bunch.flatten()

    for key, value in xyz_dict.items():
        tile = xyzservices.TileProvider(value)
        if "type" not in tile:
            tile["type"] = "xyz"
        xyz_dict[key] = tile

    xyz_dict = collections.OrderedDict(sorted(xyz_dict.items()))
    return xyz_dict

`qms_to_geemap(service_id)` ¶

Convert a qms service to an ipyleaflet tile layer.

Parameters:

Name	Type	Description	Default
`service_id`	`str`	Service ID.	required

Returns:

Type	Description
`ipyleaflet.TileLayer`	An ipyleaflet tile layer.

Source code in leafmap/basemaps.py

def qms_to_geemap(service_id):
    """Convert a qms service to an ipyleaflet tile layer.

    Args:
        service_id (str): Service ID.

    Returns:
        ipyleaflet.TileLayer: An ipyleaflet tile layer.
    """
    service_details = get_qms(service_id)
    name = service_details["name"]
    url = service_details["url"]
    attribution = service_details["copyright_text"]

    layer = ipyleaflet.TileLayer(url=url, name=name, attribution=attribution)
    return layer

`search_qms(keywords, limit=10)` ¶

Search qms files for keywords. Reference: https://github.com/geopandas/xyzservices/issues/65

Parameters:

Name	Type	Description	Default
`keywords`	`str`	Keywords to search for.	required
`limit`	`int`	Number of results to return.	`10`

Source code in leafmap/basemaps.py

def search_qms(keywords, limit=10):
    """Search qms files for keywords. Reference: https://github.com/geopandas/xyzservices/issues/65

    Args:
        keywords (str): Keywords to search for.
        limit (int): Number of results to return.
    """
    QMS_API = "https://qms.nextgis.com/api/v1/geoservices"

    services = requests.get(
        f"{QMS_API}/?search={keywords}&type=tms&epsg=3857&limit={str(limit)}"
    )
    services = services.json()
    if services["count"] == 0:
        return None
    elif services["count"] <= limit:
        return services["results"]
    else:
        return services["results"][:limit]

`xyz_to_bokeh()` ¶

Convert xyz tile services to bokeh tile layers.

Returns:

Type	Description
`dict`	A dictionary of bokeh tile layers.

Source code in leafmap/basemaps.py

def xyz_to_bokeh():
    """Convert xyz tile services to bokeh tile layers.

    Returns:
        dict: A dictionary of bokeh tile layers.
    """
    from bokeh.models import WMTSTileSource

    bokeh_dict = {}

    for key in XYZ_TILES:
        url = XYZ_TILES[key]["url"]
        attribution = XYZ_TILES[key]["attribution"]
        tile_options = {
            "url": url,
            "attribution": attribution,
        }
        bokeh_dict[key] = WMTSTileSource(**tile_options)

    xyz_dict = get_xyz_dict()
    for item in xyz_dict:
        url = xyz_dict[item].build_url()
        attribution = xyz_dict[item].attribution
        key = xyz_dict[item].name
        tile_options = {
            "url": url,
            "attribution": attribution,
        }
        bokeh_dict[key] = WMTSTileSource(**tile_options)

    return bokeh_dict

`xyz_to_folium()` ¶

Convert xyz tile services to folium tile layers.

Returns:

Type	Description
`dict`	A dictionary of folium tile layers.

Source code in leafmap/basemaps.py

def xyz_to_folium():
    """Convert xyz tile services to folium tile layers.

    Returns:
        dict: A dictionary of folium tile layers.
    """
    folium_dict = {}
    # Ignore Esri basemaps if they are already in the custom XYZ_TILES.
    ignore_list = [XYZ_TILES[tile]["name"] for tile in XYZ_TILES]

    for key, tile in custom_tiles["xyz"].items():
        folium_dict[key] = folium.TileLayer(
            tiles=tile["url"],
            attr=tile["attribution"],
            name=tile["name"],
            overlay=True,
            control=True,
            max_zoom=22,
        )

    for key, tile in custom_tiles["wms"].items():
        folium_dict[key] = folium.WmsTileLayer(
            url=tile["url"],
            layers=tile["layers"],
            name=tile["name"],
            attr=tile["attribution"],
            fmt=tile["format"],
            transparent=tile["transparent"],
            overlay=True,
            control=True,
        )

    for item in get_xyz_dict().values():
        if item["name"] in ignore_list:
            continue
        folium_dict[item.name] = folium.TileLayer(
            tiles=item.build_url(),
            attr=item.attribution,
            name=item.name,
            max_zoom=item.get("max_zoom", 22),
            overlay=True,
            control=True,
        )

    if os.environ.get("PLANET_API_KEY") is not None:
        planet_dict = planet_tiles(tile_format="folium")
        folium_dict.update(planet_dict)

    return folium_dict

`xyz_to_leaflet()` ¶

Convert xyz tile services to ipyleaflet tile layers.

Returns:

Type	Description
`dict`	A dictionary of ipyleaflet tile layers.

Source code in leafmap/basemaps.py

def xyz_to_leaflet():
    """Convert xyz tile services to ipyleaflet tile layers.

    Returns:
        dict: A dictionary of ipyleaflet tile layers.
    """
    leaflet_dict = {}
    # Ignore Esri basemaps if they are already in the custom XYZ_TILES.
    ignore_list = [XYZ_TILES[tile]["name"] for tile in XYZ_TILES]

    # Add custom tiles.
    for tile_type, tile_dict in custom_tiles.items():
        for tile_provider, tile_info in tile_dict.items():
            tile_info["type"] = tile_type
            leaflet_dict[tile_info["name"]] = tile_info

    # Add xyzservices.provider tiles.
    for tile_provider, tile_info in get_xyz_dict().items():
        if tile_info["name"] in ignore_list:
            continue
        tile_info["url"] = tile_info.build_url()
        leaflet_dict[tile_info["name"]] = tile_info

    return leaflet_dict

`xyz_to_plotly()` ¶

Convert xyz tile services to plotly tile layers.

Returns:

Type	Description
`dict`	A dictionary of plotly tile layers.

Source code in leafmap/basemaps.py

def xyz_to_plotly():
    """Convert xyz tile services to plotly tile layers.

    Returns:
        dict: A dictionary of plotly tile layers.
    """
    plotly_dict = {}
    # Ignore Esri basemaps if they are already in the custom XYZ_TILES.
    ignore_list = [XYZ_TILES[tile]["name"] for tile in XYZ_TILES]

    for key, tile in custom_tiles["xyz"].items():
        plotly_dict[key] = {
            "below": "traces",
            "sourcetype": "raster",
            "sourceattribution": tile["attribution"],
            "source": [tile["url"]],
            "name": key,
        }

    for item in get_xyz_dict().values():
        if item["name"] in ignore_list:
            continue
        plotly_dict[item.name] = {
            "below": "traces",
            "sourcetype": "raster",
            "sourceattribution": item.attribution,
            "source": [item.build_url()],
            "name": item.name,
        }

    return plotly_dict

`xyz_to_pydeck()` ¶

Convert xyz tile services to pydeck custom tile layers.

Returns:

Type	Description
`dict`	A dictionary of pydeck tile layers.

Source code in leafmap/basemaps.py

def xyz_to_pydeck():
    """Convert xyz tile services to pydeck custom tile layers.

    Returns:
        dict: A dictionary of pydeck tile layers.
    """

    check_package("pydeck", "https://deckgl.readthedocs.io/en/latest/installation.html")
    import pydeck as pdk

    pydeck_dict = {}
    # Ignore Esri basemaps if they are already in the custom XYZ_TILES.
    ignore_list = [XYZ_TILES[tile]["name"] for tile in XYZ_TILES]

    for key, tile in custom_tiles["xyz"].items():
        url = tile["url"]
        pydeck_dict[key] = url

    for key, item in get_xyz_dict().items():
        if item["name"] in ignore_list:
            continue
        url = item.build_url()
        pydeck_dict[key] = url

        if os.environ.get("PLANET_API_KEY") is not None:
            planet_dict = planet_tiles(tile_format="ipyleaflet")
            for id_, tile in planet_dict.items():
                pydeck_dict[id_] = tile.url

    pdk.settings.custom_libraries = [
        {
            "libraryName": "MyTileLayerLibrary",
            "resourceUri": "https://cdn.jsdelivr.net/gh/giswqs/pydeck_myTileLayer@master/dist/bundle.js",
        }
    ]

    for key in pydeck_dict:
        pydeck_dict[key] = pdk.Layer("MyTileLayer", pydeck_dict[key], key)

    return pydeck_dict

basemaps module¶

get_xyz_dict(free_only=True, france=False) ¶

qms_to_geemap(service_id) ¶

search_qms(keywords, limit=10) ¶

xyz_to_bokeh() ¶

xyz_to_folium() ¶

xyz_to_leaflet() ¶

xyz_to_plotly() ¶

xyz_to_pydeck() ¶

`get_xyz_dict(free_only=True, france=False)` ¶

`qms_to_geemap(service_id)` ¶

`search_qms(keywords, limit=10)` ¶

`xyz_to_bokeh()` ¶

`xyz_to_folium()` ¶

`xyz_to_leaflet()` ¶

`xyz_to_plotly()` ¶

`xyz_to_pydeck()` ¶