mgwr.gwr.GWR (coords, y, X, bw[, family, …]) |
Geographically weighted regression. |
mgwr.gwr.GWRResults (model, params, predy, S, CCT) |
Basic class including common properties for all GWR regression models |
mgwr.gwr.GWRResultsLite (model, resid, influ) |
Lightweight GWR that computes the minimum diagnostics needed for bandwidth selection |
mgwr.gwr.MGWR (coords, y, X, selector[, …]) |
Multiscale GWR estimation and inference. |
mgwr.gwr.MGWRResults (model, params, predy, …) |
Class including common properties for a MGWR model. |
mgwr.kernels.fix_gauss (coords, bw[, points, …]) |
Fixed Gaussian kernel. |
mgwr.kernels.adapt_gauss (coords, nn[, …]) |
Spatially adaptive Gaussian kernel. |
mgwr.kernels.fix_bisquare (coords, bw[, …]) |
Fixed bisquare kernel. |
mgwr.kernels.adapt_bisquare (coords, nn[, …]) |
Spatially adaptive bisquare kernel. |
mgwr.kernels.fix_exp (coords, bw[, points, …]) |
Fixed exponential kernel. |
mgwr.kernels.adapt_exp (coords, nn[, points, …]) |
Spatially adaptive exponential kernel. |
mgwr.sel_bw.Sel_BW (coords, y, X_loc[, …]) |
Select bandwidth for kernel |
utils.shift_colormap (cmap[, start, …]) |
Function to offset the “center” of a colormap. |
utils.truncate_colormap (cmap[, minval, …]) |
Function to truncate a colormap by selecting a subset of the original colormap’s values |
utils.compare_surfaces (*args, **kwargs) |