LMZ.F3GWR.test {spgwr} | R Documentation |
Four related test statistics for comparing OLS and GWR models based on bapers by Brunsdon, Fotheringham and Charlton (1999) and Leung et al (2000), and a development from the GWR book (2002).
LMZ.F3GWR.test(go) LMZ.F2GWR.test(x) LMZ.F1GWR.test(x) BFC99.gwr.test(x) BFC02.gwr.test(x, approx=FALSE) ## S3 method for class 'gwr': anova(object, ..., approx=FALSE)
go, x, object |
a gwr object returned by gwr() |
... |
arguments passed through (unused) |
approx |
default FALSE, if TRUE, use only (n - tr(S)) instead of (n - 2*tr(S) - tr(S'S)) as the GWR degrees of freedom |
The papers in the references give the background for the analyses of variance presented.
BFC99.GWR.test, BFC02.gwr.test, LMZ.F1GWR.test and LMZ.F2GWR.test return "htest" objects, LMZ.F3GWR.test a matrix of test results.
Roger Bivand Roger.Bivand@nhh.no and Danlin Yu
Fotheringham, A.S., Brunsdon, C., and Charlton, M.E., 2002, Geographically Weighted Regression, Chichester: Wiley; http://www.nuim.ie/ncg/GWR/index.htm
example(gwr) BFC99.gwr.test(col.gauss) BFC02.gwr.test(col.gauss) BFC02.gwr.test(col.gauss, approx=TRUE) anova(col.gauss) anova(col.gauss, approx=TRUE) BFC99.gwr.test(col.bisq)