Geographic Information Systems Asked by Hazzy-g on April 1, 2021
I’m trying to perform regression kriging using the code
m <- vgm(var(soil$Ba), "Sph", sqrt(areaSpatialGrid(slope))/4, nugget=0)
v <- fit.variogram(variogram(Ba~RASTERVALU, data= soil),model = m )
plot(variogram(Ba~RASTERVALU, data= soil),v, main="fitted by lt")
slopeuk <- krige(soil$Ba~soil$RASTERVALU,locations= soil, newdata= slope, model=m)
However after the final line of code I get the error
Error in gstat.formula.predict(d$formula, newdata, na.action = na.action, :
NROW(locs) != NROW(X): this should not occur
In addition: Warning messages:
1: 'newdata' had 2849126 rows but variables found have 195 rows
2: 'newdata' had 2849126 rows but variables found have 195 rows
If you have not found your answer yet, I think you're getting the errors because you don't have the predictor variable(s) (i.e. RASTERVALU) in your newdata (i.e. slope). As far as I can understand from your screenshot, it's "band1"- a different variable than what is used in the variogram.
Also, you should use model = v:
slopeuk <- krige(soil$Ba~soil$RASTERVALU,locations= soil, newdata= slope, model=v)
instead of m:
slopeuk <- krige(soil$Ba~soil$RASTERVALU,locations= soil, newdata= slope, model=m)
Hope this helps.
Answered by MAH on April 1, 2021
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