gwr.bisquare.Rd
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 |
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d | distance at which weights are set to zero |
matrix of weights.
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/