Short Introduction to Geostatistical and Spatial Data Analysis
with GRASS and R statistical data language
by Markus Neteler
ITC-irst/MPA, Trento, Italy
Data Analysis with R statistical data analysis language provides:
R-stats is an ideal extension for GRASS. R
is described in greater detail here:
What are R and CRAN. You can
freely download the R
software (MS-Windows/Linux/MacOSX/etc binaries are provided). A general web portal
related to geostatistics is found at AI-GEOSTATS.
- Basic Statistics
- Exploratory Data Analysis
- Linear Models
- Multivariate Analysis
- Time Series Analysis
- Generalized Linear Models
- ... and much more!
Table of contents
- Installation of R and R/GRASS 5 interface
- Installation of R and R/GRASS 6 interface
- Learning R
using ASCII-files (tables), manual table entry
- Plotting to file (EPS, PS)
- Graphical user interface: R Commander
- Distribution Tests
with elevation data (DEM)
and Linear interpolation (approxfun) [base package]
surface fitting = polynomial regression surface by least squares
(surf.ls, trmat) [spatial package]
polynomial regression fitting with error prediction (loess,
predict.loess) [modreg package]
surface fitting by generalized least squares (surf.gls, trmat) [spatial]
- Kriging with automated variogram model
- Connecting R to RDBMS
- Using GRASS and R
R/GRASS with Project ASSIST/Leics dataset
the Maas contaminated soils dataset
R/GRASS with own data (in your own location)
data for tests using R and GRASS
References and further links:
- Neteler, M., H. Mitasova (2004): Open Source GIS: A GRASS GIS
Approach. 2nd edition. Kluwer Academic Publishers/Springer, Boston. 424 pp.
- Bivand, R. S. and Gebhardt, A. (2000): Implementing functions for
spatial statistical analysis using the R language. Journal
of Geographical Systems 2 (3), pp. 307-317 (online
article, probably restricted access)
- Bivand, R. S., 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.
- 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., 1999. Integrating
GRASS 5.0 and R: GIS and modern statistics for data analysis. In:
Proceedings 7th Scandinavian Research Conference on Geographical
Information Science, Aalborg, Denmark, pp. 111-127.
- Bivand, R. S., Gebhardt, A. (1998): Implementing
functions for spatial statistical analysis using the R language. 38
Congress of the European Regional Science Association, Vienna, 28 August
- 1 September 1998.
Some examples on these pages are based on:
Applied Statistics with S-PLUS. Fourth Edition by W.N. Venables
and B.D. Ripley, Springer. ISBN 0-387-95457-0, 2002
See their special "R-complement".
- Interactive spatial data analysis, by Tr. Bailey
and A. Gatrell 1995, Longman, 413pp. (highly recommended)
© 2000-2007 Markus Neteler
Last update: $Date: 2007-02-09 10:42:53 +0100 (Fri, 09 Feb 2007) $