[R-sig-Geo] Problem in regression kriggin
Zia Uddin Ahmed
zua3 at cornell.edu
Wed Jan 9 21:34:34 CET 2013
Your prediction grid must have elevation data, that you predicted by OK. Newdata file (prediction grid file) may be looks like this:
x
y
Elev
Data file: x y Richness Elev
Zia
Sent from my iPad
On Jan 9, 2013, at 2:33 PM, "halim10-fes" <halim10-fes at sust.edu> wrote:
> Dear Ashton, Andy and the group,
>
> Thank you very much for your suggestions. Yes, specifying 'data=data' is
> throwing the error and
>
> prk.rich<-krige(Richness~Elev, data, newdata=grd, model=fit.sph1)
>
> is not giving that. But regarding your second suggestion to have elevation
> covariate at all location on the prediction grid or DEM, I am lost again.
> Please help me out. The issue is as follows:
>
> Since I have no DEM at this moment, I have interpolated (ordinary krigging)
> the elevation of the whole study area based on 125 plots:
>
> g.sph <- gstat(gelev, id="Elev", model=fit.sph)
> p.sph <- predict(g.sph, model=fit.sph, newdata=grd)
> a<-(p.sph["Elev.pred"])
> library(raster)
> raster(a)
> s <- as(a, 'SpatialGridDataFrame')
> str(s)
>
> Formal class 'SpatialGridDataFrame' [package "sp"] with 4 slots
> ..@ data :'data.frame': 20212 obs. of 1 variable:
> .. ..$ Elev.pred: num [1:20212] 70.3 70.2 70.2 70.2 70.2 ...
> ..@ grid :Formal class 'GridTopology' [package "sp"] with 3 slots
> .. .. ..@ cellcentre.offset: Named num [1:2] 341960 2667253
> .. .. .. ..- attr(*, "names")= chr [1:2] "x" "y"
> .. .. ..@ cellsize : Named num [1:2] 10 10
> .. .. .. ..- attr(*, "names")= chr [1:2] "x" "y"
> .. .. ..@ cells.dim : Named int [1:2] 124 163
> .. .. .. ..- attr(*, "names")= chr [1:2] "x" "y"
> ..@ bbox : num [1:2, 1:2] 341955 2667248 343195 2668878
> .. ..- attr(*, "dimnames")=List of 2
> .. .. ..$ : chr [1:2] "x" "y"
> .. .. ..$ : chr [1:2] "min" "max"
> ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slots
> .. .. ..@ projargs: chr NA
>
> And then I tried regression krigging as follows:
>
> prk.rich<-krige(Richness~Elev, data, newdata=s, model=fit.sph1)
>
> But it gave me following 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 20212 rows but variable(s) found have 125 rows
> 2: 'newdata' had 20212 rows but variable(s) found have 125 rows
>
> I have gone through http://spatial-analyst.net/wiki/index.php?
> title=Regression-kriging_guide and other possible different guidelines but
> could not come to any conclusion.
>
> Any help is appreciated.
>
>
> Best regards,
>
> ---------------
> Md. Abdul Halim
> Assistant Professor
> Department of Forestry and Environmental Science
> Shahjalal University of Science and Technology,Sylhet-3114,
> Bangladesh.
> Cell: +8801714078386.
> alt. e-mail: xou03 at yahoo.com
>
>
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