geoR
A package for geostatistical data analysis using the R software
Paulo J. Ribeiro Jr. and Peter J. Diggle
| Illustrative session | Download | License and Citing geoR |
| geoRglm | R and S-Plus | geoR resources |
| Links | Acknowledgements | Authors |
An Introduction to geoR
- geoRintro.pdf, the document in pdf format
- geoRintro.Rnw, the source vignette file
Download/install the package
-
geoR under development:
(Last modified: )- Installation files
- geoR_1.9-2.tar.gz (package source / Linux and Unix)
- geoR_1.9-2.zip (for Windows users)
- News CHANGES describes the latest changes in the package geoR.
Notice this file is also included in the package distribution under .../doc/CHANGES. Stable Versions (available at CRAN)
- Installation files
- geoR_1.9-2.tar.gz (package source / Linux and Unix)
- geoR_1.9-2.zip (for Windows users)
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Instructions for installing/upgrading the package
License information and citing geoR
License
geoR is available as Free Software under the terms of the Free Software Foundation's GNU General Public License.Please note that as free package, geoR is supplied without any warranty.
Citing geoR:
If you use geoR please cite the following reference:- RIBEIRO JR., P.J. and DIGGLE, P.J. (2001) geoR: A package for geostatistical analysis. R-NEWS Vol 1, No 2. ISSN 1609-3631.
Using geoR: available resources
- Book
Model-based Geostatistics
Series: Springer Series in Statistics
Diggle, Peter J. & Ribeiro Jr, Paulo Justiniano
2006, X, 230 p., Hardcover
ISBN-10: 0-387-32907-2
ISBN-13: 978-0-387-32907-9
The book webpage Illustrative session
For a first contact with the package we strongly recommend the web-page with an illustrative session.
This document is also available in compressed postscript and pdf formats:
- pdf format (geoRintro.pdf)
- postscript format (geoRintro.ps.gz)
Tutorials
Link for a collection of tutorials illustrating several aspects of the usage of the geoR package.-
geoR: index of contents
-
geoR: reference manual:
- pdf format (geoR.pdf)
Help files
are available for the functions in the package in the standard format.
For example, to see the documentation for the function likfit (which performs maximum likelihood estimation), just type during an R session (after loading the package):> help(likfit)We remind that in order to visualise html help files Windows users should also type options(helphtml=TRUE) before help.start(). This is not necessary for other operating systems.
Related publications
The publications listed here illustrate the usage and some of the capabilities of geoR. The geostatistical analysis and graphics were performed using the package resources.
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Original technical report announcing the package release
RIBEIRO
JR, P.J. AND DIGGLE, P.J. (1999). geoS: A geostatistical
library for S-PLUS. Technical report ST-99-09, Dept of Maths
and Stats, Lancaster University.
To download this report in compressed
postscript (.ps) format, click for the file with:
2 pages per sheet (double page) or 1 page per sheet (single page). ( Last update: 19 Nov 2000)WARNING: Please note that several changes have been made in the software since the release of the above document, which nevertheless remains valid as an introductory guide to the package.
The version currently available is already an updated version of the original document and might be further updated to reflect changes in the package. Bugs
geoR is still in development and there may be missing or broken features.
We welcome usage and bugs reports as well as feature suggestions which may be sent by e-mail to
.
The file CHANGES describes bugs already fixed, up to the currently available version.A related project: geoRglm
Information on the R software
- What is R ? web page
- or to the more general R project web page.
- Click to download R,
- for R manuals including an Introduction to R go to the R Manuals web page,
- and to learn what's new in the R project have a look at the R-News, downloadable in .pdf and .ps formats.
Links to other R packages for spatial statistics
Acknowledgements
About the authors
Click for an illustrative session with some of the capabilities of the package.
This document is also available as a vignette. The vignettes files are currently not distributed with the package but are available here:
A package called geoRglm to fit non-Gaussian geostatistical data using generalised spatial linear models models is now available thanks to a work lead by Ole Christensen, Inst. for Genetik og Bioteknologi, Aarhus Universitet.
Our development platform for geoR
is R running on a Linux system.
Versions for Windows© and Macintosh are also available.
Versions for S-PLUS (library geoS)
are no longer maintained.
|
|
For more details about statistical analysis and programming
using R
see:
Venables & Ripley (1999) and Venables & Ripley (2000).
For a extensive list of publications related to R and S-PLUS see
the R publications list.
R resources for spatial statistics the CRAN spatial task view which includes a comented list of other R packages for geostatistical and spatial statistical data analysis, as well as other useful resources for spatial statistics.
geoR's development has benefited from the usage/bug report,
contributions and comments from several users.
We thank them all for their valuable input.
Remaining bugs are the authors' sole responsibility.
Paulo Justiniano Ribeiro Jr. ()
is a Professor at LEG (Laboratório de Estatística e Geoinformação), Department of Statistics, Universidade
Federal do Paraná, Brasil.
Peter J. Diggle is Professor of Statistics, Lancaster University, UK.
Site contact: Paulo Ribeiro (
)