GRASS: Geostatistics and spatial data analysis

GRASS GIS and interfaces to Statistics/Geostatistics Software

Mailing List: GRASS and (geo)statistical software

This mailing list is intended to coordinate ongoing development on interfaces for GRASS to statistical/geostatistical software. Topics to be discussed could be:

• How can "R", "S", ... statistical language packages be linked to GRASS GIS?
• How can I contribute?
• I already programmed a (small/complete) interface! Would you like to test it?
• ... and so on.

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GRASS Interfaces to statistical software

• GRASS-R interface: connect GRASS to R statistical language package
• Spatial data in R project page
  • GRASS 6.x: GRASS6-R interface (installation: see here)
  • GRASS 5.x: GRASS5-R interface (installation: see here)
  • Short draft introduction to R/GRASS interface
  • Geomorphometry in R + SAGA + ILWIS + GRASS
  • Related papers:
    • Bivand, R. 2007. Using the R-GRASS interface. OSGeo Journal 1, 36-38 (PDF).
    • Bivand, R.S., 2005. Interfacing GRASS 6 and R. Status and development directions. GRASS Newsletter, Vol.3, pp 11-16, June 2005 (PDF).
    • Bivand, R.S., 2000. Using the R statistical data analysis language on GRASS 5.0 GIS database files. Computers & Geosciences, 26, pp. 1043-1052.
    • Bivand, R.S., and A. Gebhardt, 2000. Implementing functions for spatial statistical analysis using the R language. Journal of Geographical Systems, (3)2, 307-317.
    • Bivand, R., Neteler, M. (2000): Open Source geocomputation: using the R data analysis language integrated with GRASS GIS and PostgreSQL data base systems. Proceedings 5th conference on GeoComputation, 23-25 August 2000, University of Greenwich, U.K.
  • GDAL/R bindings to Frank Warmerdam's Geospatial Data Abstraction Library (to read directly raster data into R)
  • CRAN Task View: Analysis of Spatial Data
  • CRAN Task View: Analysis of Ecological and Environmental Data

• GRASS-gstat interface:
• gstat offers GRASS support. Gstat is a computer program for geostatistical modelling, prediction and simulation.
• GRASP-R:
• GRASP-R offers GRASS support. Generalized Regression Analysis and Spatial Prediction for R. It's a plugin for R and provides a general method for making spatial predictions of variable of interest (VOI) using point surveys of the VOI and spatial coverages of important environmental drivers (IED).


See also:

• AI-Geostats.org server