Kriging: Difference between revisions
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GRASS and kriging | |||
== Kriging collection == | == Kriging collection == | ||
* [[How to interpolate point value using kriging method with R and GRASS 6]] | * [[How to interpolate point value using kriging method with R and GRASS 6]] | ||
* [[V. | * [[V.krige GSoC 2009]] | ||
* [http://www.gstat.org gstat] - gstat is a powerful tool for geostatistical analysis including various kriging techniques (and offers direct support for GRASS vector points) | |||
* [http://cran.at.r-project.org/web/views/Spatial.html Analysis of Spatial Data in R] - The R Project for Statistical Computing is a rich statistical framework with numerous geospatial extentions including kriging and a gstat extention (and offers direct support for GRASS data via the "[http://grass.osgeo.org/statsgrass/grass6_r_install.html spgrass6]" class) | |||
== See also == | == See also == | ||
* Bezzi M. & Vitti A., 2005: A comparison of some kriging interpolation methods for the production of solar radiation maps. [http://geomatica.como.polimi.it/workbooks/n5/list.php Geomatics workbooks 5] ([http://geomatica.como.polimi.it/workbooks/n5/full.php PDF], requires free registration) | * Bezzi M. & Vitti A., 2005: A comparison of some kriging interpolation methods for the production of solar radiation maps. [http://geomatica.como.polimi.it/workbooks/n5/list.php Geomatics workbooks 5] ([http://geomatica.como.polimi.it/workbooks/n5/full.php PDF], requires free registration) | ||
* Bivand, R. 2007. Using the R-GRASS interface. OSGeo Journal 1, 36-38 ([http://www.osgeo.org/files/journal/final_pdfs/OSGeo_vol1_GRASS-R.pdf PDF]) | |||
[[Category:Documentation]] | [[Category:Documentation]] | ||
[[Category:R]] | |||
Latest revision as of 08:02, 26 August 2009
GRASS and kriging
Kriging collection
- How to interpolate point value using kriging method with R and GRASS 6
- V.krige GSoC 2009
- gstat - gstat is a powerful tool for geostatistical analysis including various kriging techniques (and offers direct support for GRASS vector points)
- Analysis of Spatial Data in R - The R Project for Statistical Computing is a rich statistical framework with numerous geospatial extentions including kriging and a gstat extention (and offers direct support for GRASS data via the "spgrass6" class)
See also
- Bezzi M. & Vitti A., 2005: A comparison of some kriging interpolation methods for the production of solar radiation maps. Geomatics workbooks 5 (PDF, requires free registration)
- Bivand, R. 2007. Using the R-GRASS interface. OSGeo Journal 1, 36-38 (PDF)