Prepare model input

Regridder(method[, ndim_regrid, ...])	Object to repeatedly regrid similar objects.
LayerRegridder(method)	Object to repeatedly regrid layers of similar objects.
Voxelizer(method[, use_relative_weights])	Object to repeatedly voxelize similar objects.
fill(da[, invalid, by])	Replace the value of invalid da cells (indicated by invalid) using basic nearest neighbour interpolation.
laplace_interpolate(source[, ibound, close, ...])	Fills gaps in source by interpolating from existing values using Laplace interpolation.
polygonize(da)	Polygonize a 2D-DataArray into a GeoDataFrame of polygons.
reproject(source[, like, src_crs, dst_crs, ...])	Reprojects and/or resamples a 2D xarray DataArray to a different cellsize or coordinate system.
rasterize(geodataframe, like[, column, fill])	Rasterize a geopandas GeoDataFrame onto the given xarray coordinates.
gdal_rasterize(path, column[, like, nodata, ...])	Use GDAL to rasterize a vector file into an xarray.DataArray.
celltable(path, column, resolution, like[, ...])	Process area of features by rasterizing in a chunkwise manner to limit memory usage.
rasterize_celltable(table, column, like)	Rasterizes a table, such as produced by imod.prepare.spatial.celltable.
zonal_aggregate_polygons(path_a, path_b, ...)	Compute a zonal aggregate of polygon data for (other) polygon geometries, e.g.
zonal_aggregate_raster(path, column, raster, ...)	Compute a zonal aggregate of raster data for polygon geometries, e.g.