Fotheringham, A.S., Brunsdon, C., and Charlton, M.E. (2002), Geographically Weighted Regression:
The Analysis of Spatially Varying Relationships, Chichester: Wiley.
Lu, B, Charlton, M, Harris, P, Fotheringham, AS (2014) Geographically weighted regression
with a non-Euclidean distance metric: a case study using hedonic house price data.
International Journal of Geographical Information Science 28(4): 660-681
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
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> library(GWmodel)
Loading required package: maptools
Loading required package: sp
Checking rgeos availability: TRUE
Loading required package: robustbase
Welcome to GWmodel version 1.2-5.
Note: The default kernel for all the functions have been set as bisquare from this release
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GWmodel/LondonHP.Rd_%03d_medium.png", width=480, height=480)
> ### Name: LondonHP
> ### Title: London house price data set (SpatialPointsDataFrame)
> ### Aliases: LondonHP londonhp
> ### Keywords: data,house price
>
> ### ** Examples
>
> data(LondonHP)
> data(LondonBorough)
> ls()
[1] "londonborough" "londonhp"
> plot(londonborough)
> plot(londonhp, add=TRUE)
>
>
>
>
>
> dev.off()
null device
1
>