GWR bisquare weights function

The function returns a vector of weights using the bisquare scheme:

$w_{ij}(g) = (1 - (d_{ij}^2/d^2))^2$ if $d_{ij} <= d$ else $w_{ij}(g) = 0$ , where $d_{ij}$ are the distances between the observations and $d$ is the distance at which weights are set to zero.

gwr.bisquare(dist2, d)

Arguments

dist2	vector of squared distances between observations
d	distance at which weights are set to zero

Value

matrix 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/

Examples

plot(seq(-10,10,0.1), gwr.bisquare(seq(-10,10,0.1)^2, 6.0), type="l")

Arguments

Value

References

See also

Examples

Contents

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