|AUTHOR|| Paulo Justiniano Ribeiro Jr. is lecturer at Departamento de Estatistica, Universidade Federal do Parana, Brasil.
Peter J. Diggle is Professor of Statistics, Maths & Stats Dept, Lancaster University, UK.
|PLATFORM||Linux, Windows, UNIX|
|PURPOSE||Geostatistical toolbox in 2 & 3 D.|
+ General statistics
+ Transformed (Box-Cox) models
+ Variogram analysis and fitting (OLS/WLS)
+ Variogram modelling by "eye", least squares fitting, likelihood based methods, Bayesian methods
+ Simple Kriging, Ordinary Kriging, Universal Kriging
+ Kriging with external drift
+ Gaussian simulations.
+ Cross validations
|CODES||R codes available|
|TIP|| The web page has also many links to other R codes for spatial statistics (Akima interpolator, space & time functions, point pattern analysis)
A package called geoRglm to fit non-gaussian geostatistical data using generalised spatial linear models models is also available thanks to a work lead by Ole Christensen, Lancaster University, UK (formely at Aalborg University - Denmark).
|HOMEPAGE|| Manuals and software can be downloaded from
RIBEIRO Jr, P.J., CHRISTENSEN, O.F. AND DIGGLE, P.J.
Geostatistical software - geoR and geoRglm (draft version) Proceedings of the Distributed Statistical Computing (DSC-2003) Conference.