Tobin Cara wrote: > Hello, > > Thank you all for your previous help. I began using R 2 weeks ago, and I am > getting somewhere finally. I have been able to run universal kriging with a > Digital Elevation Model trend. Now, does anyone have experience with kriging > more than one trend variable? > > I assume you have to have the other variables defined at the same locations > as the original grid and then at the new grid. However, can more than one new > grid be defined? > > For example, > > elev_ked <- krige(meanPrec~Z+LAM, meanPrec, newdata=elev, fitted_vario) > > In this example, I want to krig the mean Precipitation relative to the > elevation Z and a Limited Area Model (LAM). There is only one way to define > the newdata that I know and in this case I am interpolating back to the > Digital Elevation Model 'elev'. If I want to interpolate back to the LAM > grid, I presume I change to newdata=LAM? > > However, is there an approach that uses the entire newdata grid of elev and a > LAM grid for interpolation? yes; make them into a single object, e.g. by
elev$LAM = LAM[[1]] which only make sense if elev and LAM have the same topology (grid structure). > Do they have to be at the same resolution? > Yes. > Thank you so much! > > Cara > > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Edzer Pebesma Institute for Geoinformatics (ifgi), University of Münster Weseler Straße 253, 48151 Münster, Germany. Phone: +49 251 8333081, Fax: +49 251 8339763 http://ifgi.uni-muenster.de/ http://www.springer.com/978-0-387-78170-9 e.pebe...@wwu.de _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
