[R-sig-Geo] MSE

[Pete Larson]

Hello,

Is there any easy way to get the MSE from the gstat kriging fucntions? 
Or just the residuals at the measurement points?

Thanks,

Pete




Edzer J. Pebesma wrote:
> Dear Tom,
>
> as your grids are spatial grids, you may want to look into the web 
> service standards of the OGC (www.opengeospatial.org) for them, WCS 
> (for reading) and WCS-T (for writing) in particular. We're 
> experimenting with this currently, using the recently open sourced 
> rasdaman software (www.rasdaman.org), which uses a data base in the 
> back end. I don't think OPeNDAP has special infrastructure for spatial 
> grids; CFNetCDF does, but by choosing this you may limit integration 
> with other software that does assume spatial data to be served over 
> OGC standards. CFNetCDF is one of the possible formats to be served 
> over WCS (and GeoTIFF etc) -- if I'm correctly informed.
>
> Bests,
> -- 
> Edzer
>
> Stefano Casalegno wrote:
>> Dear Tom,
>> my best acknowledgment for the Ecogrid challenging initiative.
>> I guess the main limitation will be "time" and this is related to 
>> the  size of grids.
>> What is the extent of the grids ?
>> What tool you plan to use for point 1. Overlay some point data and  
>> get the values of grids ?
>>
>> On a more theoretical basis,
>> "distribution models should rely upon data that covers the whole  
>> extent of the distribution of the biota under examination"
>>
>> Please consider forest data from
>> http://forest.jrc.ec.europa.eu/climate-change
>> as supplementary predictors variables within an European 
>> biodiversity  and nature conservation application.
>>
>> Cheers
>> Stefano
>>
>>
>> ________________________________
>>
>> Stefano Casalegno, Ph.D.
>>
>> via Greppi 16, 21021 Angera - Italy
>> email: stefano at casalegno.net
>> web: http://www.casalegno.net/stefano
>> ________________________________
>>
>>
>> On Dec 13, 2009, at 6:29 PM, Tomislav Hengl wrote:
>>
>>  
>>> Dear R-sig-geo,
>>>
>>> As a part of our project (EcoGRID.nl) we have prepared some 60  
>>> thematic grids that we use as auxiliary predictors for species  
>>> distribution modeling. At this stage, we would like to put the  
>>> gridded maps (50/100 m base resolution) into some efficient  
>>> sharable geo-database.
>>>
>>> We will most probably put the data into the NetCDF format (http:// 
>>> www.unidata.ucar.edu/software/netcdf/) because it can handle any- 
>>> dimensional array data, and because it has been in continuous  
>>> development and widespread use for many years. NetCDF grids can be  
>>> read relatively easy into R using the RNetCDF package (e.g. http:// 
>>> spatial-analyst.net/DATA/readNCDF.zip). Another alternative is to  
>>> use PostGIS WKT Raster format (http://trac.osgeo.org/postgis/wiki/ 
>>> WKTRaster), but this seems to be still rather experimental (?).
>>>
>>> Once we put the grids into NetCDF format. We plan to install  
>>> OPeNDAP (http://www.opendap.org) server on top to make the files  
>>> accessible through the web; then Geoserver (http:// 
>>> www.geoserver.org) or UMN Mapserver (http://mapserver.org) to feed  
>>> a WMS from NetCDF files (raster data). Finally, we plan to add a  
>>> simple OpenLayers interface on top of that (Geoserver has it built  
>>> in) to allow direct browsing of the data and metadata (e.g. such as  
>>> this one: http://africamap.harvard.edu/)
>>>
>>> Just to be clear, we want to put the data on a server because we  
>>> would like to run a number of operations directly on the server  
>>> (via rgdal?):
>>>
>>> 1. Overlay some point data and get the values of grids (without a  
>>> need to download the grids locally);
>>> 2. Subset/mask and resample gridded data of interest (for a given  
>>> bounding box and proj4 string; again without a need to download the  
>>> data locally);
>>> 3. Upscale the grids from 100 m to 250, 500 m and 1 km resolution  
>>> (then download the upscaled grids).
>>> 4. Write/upload new grids to the database (e.g. using WebDAV).
>>> 5. Browse the grids (and metadata) via the OpenLayers.
>>>
>>> These are only our wishes of course. We do not know if all this is  
>>> really possible with the current software.
>>>
>>> Any examples or comments/suggestions/experiences are welcome  
>>> (before we start installing and testing the functionality).
>>>
>>> Thanx!
>>>
>>> Tomislav Hengl and Lourens Veen
>>>
>>> _______________________________________________
>>> R-sig-Geo mailing list
>>> R-sig-Geo at stat.math.ethz.ch
>>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>>
>>>     
>>
>>
>>
>>
>>
>>
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