pslarson2 at gmail.com
Mon Dec 14 12:16:20 CET 2009
Is there any easy way to get the MSE from the gstat kriging fucntions?
Or just the residuals at the measurement points?
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.
> 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
>> as supplementary predictors variables within an European
>> biodiversity and nature conservation application.
>> 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).
>>> Tomislav Hengl and Lourens Veen
>>> R-sig-Geo mailing list
>>> R-sig-Geo at stat.math.ethz.ch
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