On Mon, 13 Nov 2006, Raphael Saldanha wrote: > Help! > > In the SDF results, what exactly means these fields: > > sum_w > X.Intercept > V04 > V05 > X1 > X2 > X3
The spgwr package is not really intended to help people use GWR, which is not generally accepted as a technique of analysis (because it forces coefficients to co-vary), though it can be used for exploration. It is rather a toolbox for examining the method. For this reason, not much effort has been put into things like names. You would have to say what all the names are in this case: names(res.adpt$SDF) The v04, V05 look odd, but without seeing all the names, it is difficult to tell. The X1-X3 are probably three of the local standard errors. s_w is the sum of weights at that point, and X.Intercept is the local intercept estimate. What happens when you run a regular regression? Do any of the coefficients disappear (any collinear variables)? Roger > > I'm using this code: > > > x <- readShapePoly("domicilio_3136702.shp", IDvar = "ID_") > > x.adapt.gauss <- gwr.sel(V03 ~ V06 + V07 + V08, data=x, adapt=TRUE) > > res.adpt <- gwr(V03 ~ V06 + V07 + V08, data=x, adapt= x.adapt.gauss, > hatmatrix = TRUE) > > -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: [EMAIL PROTECTED] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo