E.g. global ~90m map may be on the order of 100GBs if represented uncompressed in memory.
snail.intersection.get_raster_values_for_splits currently takes raster data as a 2D ndarray.
When attributing values from rasters to split and indexed geometries, find an approach which doesn't assume that the full raster array can be loaded in memory.
E.g. global ~90m map may be on the order of 100GBs if represented uncompressed in memory.
snail.intersection.get_raster_values_for_splitscurrently takes raster data as a 2D ndarray.When attributing values from rasters to split and indexed geometries, find an approach which doesn't assume that the full raster array can be loaded in memory.