spgwr (version 0.6-32)

gwr.gauss: GWR Gaussian weights function

Description

The gwr.gauss function returns a vector 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.

The default (from release 0.5) gwr.Gauss function returns a vector of weights using the Gaussian scheme:

$$w(g) = e^{-(1/2) {{(d/h)}^2}}$$

Usage

gwr.gauss(dist2, bandwidth)
gwr.Gauss(dist2, bandwidth)

Arguments

dist2

vector of squared distances between observations and fit point

bandwidth

bandwidth

Value

vector of weights.

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://gwr.nuim.ie/

See Also

gwr.sel, gwr

Examples

# NOT RUN {
plot(seq(-10,10,0.1), gwr.Gauss(seq(-10,10,0.1)^2, 3.5), type="l")
# }