iki77

@jeffcsauer The `gdf` can be downloaded from https://biogeo.ucdavis.edu/data/gadm3.6/gpkg/gadm36_IDN_gpkg.zip ``` gdf = geopandas.read_file("gadm36_IDN.gpkg", layer="gadm36_IDN_2") # Initialize y y = gdf["CC_2"].astype(float) # Create weights weights_q = libpysal.weights.Queen.from_dataframe(gdf) weights_q.transform = "r" # Moran...

Ok thanks for the temporary solution @ljwolf

The difference is that in #137 it only changes the weighting of intensive variables from area to other variables. What I propose is to add other variables to weighting in...

Do you mean to add new examples from the pull request? I think including links to other data sources besides NLCD is sufficient for me, because it is hard to...