Thanks for forwarding my off-list answer back to the list. Do a
library(gstat) demo(examples) and look at the Stratified ordinary kriging example. meuse[meuse$part.a == 0,] is passed to the krige function, meaning a subset of the full meuse dataset. In your case this would be something like yourdata[yourdata$measurementerror == 0,] On 12/15/2010 02:59 PM, kapo coulibaly wrote: > Great! But i meant which package and how? > > Thanks > > On Wed, Dec 15, 2010 at 1:40 AM, Edzer Pebesma < > edzer.pebe...@uni-muenster.de> wrote: > >> Yes, you can. >> >> On 12/14/2010 07:24 PM, kapo coulibaly wrote: >>> I'm doing some interpolations and i would like to know if it is possible >>> with any of R's geostatistical packages to selectively pick a few points >>> where I know measurements are "perfect" while the rest of them exhibit >>> measurement errors? >>> >>> [[alternative HTML version deleted]] >>> >>> _______________________________________________ >>> R-sig-Geo mailing list >>> R-sig-Geo@r-project.org >>> 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.52north.org/geostatistics e.pebe...@wwu.de >> > -- 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.52north.org/geostatistics e.pebe...@wwu.de _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo