rasterize_categorical

geobricks.rasterize_categorical(data_gdf, grid_gdf, *, is_polygon=False, is_point=False)

Rasterize a categorical column of a geopandas.GeoDataFrame, according to a vector grid. For consistency, the geopandas.GeoDataFrame should contain only one level of the categorical variable. This function returns the count of points in each raster cell (if is_point = True) or the area covered by polygons in each raster cell (if is_polygon = True).

Parameters

data_gdfgeopandas.GeoDataFrame

Input frame containing the column to rasterize. This function will not differentiate the different levels of the categorical variable. It is expected that data_gdf contains only one signle level.

grid_gdfgeopandas.GeoDataFrame

Vector grid composed: one rectangle will correspond to one raster cell.

is_polygonbool

Whether the input frame is a polygon vector dataset or not.

is_pointbool

Whether the input frame is a point vector dataset or not.

Returns

coverxarray.DataArray

DataArray containing the results.

• if is_polygon = True: the sum of area intersecting each cell will be returned

• if is_point = True: the count of points in each cell will returned