GRASS GIS and interfaces to Statistics/Geostatistics Software
Mailing list
- GRASS and R
- GRASS and gstat
- GRASP-R
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.
How do I (un)subscribe to
STATS/GRASS?
Visit the grass-stats
mailing list page
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:
-
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:
Last change: $Date$
$Author$