- imod.prepare.gdal_rasterize(path, column, like=None, nodata=None, dtype=None, spatial_reference=None, all_touched=False)[source]#
Use GDAL to rasterize a vector file into an xarray.DataArray.
Can be significantly more efficient than rasterize. This doesn’t load the vector data into a GeoDataFrame and loops over the individual shapely geometries like rasterio.rasterize does, but loops over the features within GDAL instead.
path (str or pathlib.Path) – path to OGR supported vector file (e.g. a shapefile)
column (str) – column name of column to burn into raster
like (xr.DataArray, optional) – example of raster
nodata (int, float; optional) –
dtype (numpy.dtype, optional) –
spatial_reference (dict, optional) –
Optional dict to avoid allocating the like DataArray. Used if template is None. Dict has keys “bounds” and “cellsizes”, with:
bounds = (xmin, xmax, ymin, ymax)
cellsizes = (dx, dy)
all_touched (bool) – If True: all pixels touched by lines or polygons will be updated, not just those on the line render path, or whose center point is within the polygon. Default value is False.
- Return type: