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)
dist2 |
vector of squared distances between observations |
d |
distance at which weights are set to zero |
matrix of weights.
Roger Bivand Roger.Bivand@nhh.no
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/
plot(seq(-10,10,0.1), gwr.bisquare(seq(-10,10,0.1)^2, 6.0), type="l")
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