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]]
>>>
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>>
>> --
>> 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
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