gwr.gauss {spgwr}R Documentation

GWR Gaussian weights function

Description

The function returns a matrix of weights using the Gaussian scheme:

w(g) = e^{{-(d/h)}^2}

where d are the distances between the observations and h is the bandwidth.

Usage

gwr.gauss(dist2, bandwidth)

Arguments

dist2 matrix of squared distances between observations
bandwidth bandwidth

Value

matrix of weights.

Author(s)

Roger Bivand Roger.Bivand@nhh.no

References

Fotheringham, A.S., Brunsdon, C., and Charlton, M.E., 2000, Quantitative Geography, London: Sage; C. Brunsdon, A.Stewart Fotheringham and M.E. Charlton, 1996, "Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity", Geographical Analysis, 28(4), 281-298; http://ncg.nuim.ie/ncg/GWR/index.htm

See Also

gwr.sel, gwr

Examples

plot(seq(-10,10,0.1), gwr.gauss(seq(-10,10,0.1)^2, 3.5), type="l")

[Package spgwr version 0.4-3 Index]