Hello all, I am doing some exploratory analysis with adaptive and fixed kernels in the SPGWR package. I am hoping to glean further insight from someone who has a better understanding of the gw.adapt(dp, fp, quant, longlat=FALSE) command. I understand 'quant' is proportion of data points to include in the weight. Is there a common trade off moving from 0 to 1? The bandwidth it assigns are consistently much larger and perform significantly worse than when employing a fixed bandwidth, which seems counter-intuitive to much of the literature I am reading. As the proportion I use increases, some of the bandwidths are reaching as high as 200 km, which I know cannot be correct as the geographical area is no more than 30 square kilometers.
Any insight is very much appreciated. I am very aware of the warnings and pitfalls of GWR ; I am simply looking to have a better understanding of the intuition behind this package and command specifically. Thanks very much for your time! Best, Paul Old Dominion University [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo