Dear all,
I want to make GWR analysis to predict precipitation distribution measured from
225 meteorological stations. I have three independent variables (Z, V1, V2). I
want to obtain predictions on the grid dataset which has 31203 number of
pixels. I gave some details about my datasets below. While performing GWR, I
get error message:
"new data matrix rows mismatch"
How can I solve that problem?
Thanks, Pinar.
station.grid<-read.table("D:\\R\\dem.txt", header=TRUE)
station<-read.table("D:\\R\\station.txt", header=TRUE)
grid =
SpatialPointsDataFrame(data=station.grid,coords=cbind(station.grid$X,station.grid$Y))
station = SpatialPointsDataFrame(data=station,
coords=cbind(station$X,station$Y))
> names(grid)
[1] "Z" "X" "Y" "V1" "V2"
> names(station)
[1] "PREC" "Z" "X" "Y" "V1" "V2"
bw=gwr.sel(PREC~station$Z+station$V1+station$V2,data=station,adapt=T)
gwr <-gwr(PREC~station$Z+station$V1+station$V2,data=station,adapt=bw,
fit.points = grid, predict=TRUE, se.fit=T)
Error in gwr(PREC ~ station$Z + station$V1 + station$V2, data = station, :
NEW DATA MATRiX ROWS MiSMATCH
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