HeatmapLayer
^^^^^^^^^^^^

.. raw:: html

    
    <a id="deck-link" target="_blank" href="https://deck.gl/docs/api-reference/layers/heatmap-layer">deck.gl docs</a>
    
    <br />

.. raw:: html
   :file: ./html/heatmap_layer.html

.. raw:: html

    <style>
   .wy-nav-content {
        max-width: 100% !important;
    }
    #deck-container {
        height: 50vh;
        width: 100%;
    }
    #deck-link {
        float: right;
        position: relative;
        top: -20px;
    }
    </style>

Source
------

.. code-block:: python

    """
    HeatmapLayer
    ===========

    Location of livestock raised in New Mexico in the United States in 2006,
    via the United Nations and FAOSTAT, with the source data viewable here: http://www.fao.org/faostat/en/

    Locations for poultry are viewable in blue and cattle are in orange.

    Overlaid with the satellite imagery from Mapbox to highlight the how terrain affects agriculture.
    """

    import pandas as pd
    import pydeck as pdk

    CATTLE_DATA = "https://raw.githubusercontent.com/ajduberstein/geo_datasets/master/nm_cattle.csv"
    POULTRY_DATA = "https://raw.githubusercontent.com/ajduberstein/geo_datasets/master/nm_chickens.csv"


    HEADER = ["lng", "lat", "weight"]
    cattle_df = pd.read_csv(CATTLE_DATA, header=None).sample(frac=0.5)
    poultry_df = pd.read_csv(POULTRY_DATA, header=None).sample(frac=0.5)

    cattle_df.columns = HEADER
    poultry_df.columns = HEADER

    COLOR_BREWER_BLUE_SCALE = [
        [240, 249, 232],
        [204, 235, 197],
        [168, 221, 181],
        [123, 204, 196],
        [67, 162, 202],
        [8, 104, 172],
    ]


    view = pdk.data_utils.compute_view(cattle_df[["lng", "lat"]])
    view.zoom = 6

    cattle = pdk.Layer(
        "HeatmapLayer",
        data=cattle_df,
        opacity=0.9,
        get_position=["lng", "lat"],
        aggregation=pdk.types.String("MEAN"),
        color_range=COLOR_BREWER_BLUE_SCALE,
        threshold=1,
        get_weight="weight",
        pickable=True,
    )

    poultry = pdk.Layer(
        "HeatmapLayer",
        data=poultry_df,
        opacity=0.9,
        get_position=["lng", "lat"],
        threshold=0.75,
        aggregation=pdk.types.String("MEAN"),
        get_weight="weight",
        pickable=True,
    )


    r = pdk.Deck(
        layers=[cattle, poultry],
        initial_view_state=view,
        map_provider="mapbox",
        map_style=pdk.map_styles.SATELLITE,
        tooltip={"text": "Concentration of cattle in blue, concentration of poultry in orange"},
    )

    r.to_html("heatmap_layer.html")