The parameter var.dMat.indx is defined for the usage of distance matrix for
each variable, and was used wrongly in your code. Try this:
ab_gwr <- gwr.multiscale(PURCHASE ~ FLOORSZ + PROF,
data = londonhp,
criterion = "dCVR",
kernel = "gaussian",
adaptive = FALSE,
var.dMat.indx = 1:3,
bws0 = c(100,
100,
100),
bw.seled = rep(T, 3),
dMats = list(dist,
dist,
dist),
parallel.method = "omp",
parallel.arg = "omp")
It should work now.
binbi...@whu.edu.cn
From: Nikolaos Tziokas
Date: 2023-02-06 01:14
To: r-sig-geo
Subject: [R-sig-Geo] Error when running multiscale GWR: Error in gw_weight_vec:
Not compatible > with requested type: [type=NULL; target=double]
I am trying to run multiscale geographically weighted regression (MGWR)
using the GWmodel package in R. When running the function gwr.multiscale
this error is shown:
Error in gw_weight_vec(vdist, bw, kernel, adaptive): Not compatible with
requested type: [type=NULL; target=double].
An example:
library(GWmodel)
data(LondonHP)
dist <- gw.dist(coordinates(londonhp))
ab_gwr <- gwr.multiscale(PURCHASE ~ FLOORSZ + PROF,
data = londonhp,
criterion = "dCVR",
kernel = "gaussian",
adaptive = FALSE,
var.dMat.indx = 2,
bws0 = c(100,
100,
100),
bw.seled = rep(T, 3),
dMats = list(dist,
dist,
dist),
parallel.method = "omp",
parallel.arg = "omp")
I am following the example from the package's PDF. Also, I tried with my
dataset and many different combinations (different number of covariates,
the dMats parameter, adaptive bandwidths etc etc).
--
Tziokas Nikolaos
Cartographer
Tel:(+44)07561120302
LinkedIn <http://linkedin.com/in/nikolaos-tziokas-896081130>
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