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GeoR 1.6
Below is the detail information:
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| AUTHOR |
Paulo Justiniano Ribeiro Jr. is lecturer at Departamento de Estat?stica, Universidade Federal do Paran?, Brasil. Paulo.Ribeiro@est.ufpr.br
Peter J. Diggle is Professor of Statistics, Maths & Stats Dept, Lancaster University, UK. |
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| AUTHOR |
Paulo Justiniano Ribeiro Jr. is lecturer at Departamento de Estatistica, Universidade Federal do Parana, Brasil. Paulo.Ribeiro(at)est.ufpr.br
Peter J. Diggle is Professor of Statistics, Maths & Stats Dept, Lancaster University, UK. |
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| PLATFORM |
Linux, Windows, UNIX |
| PURPOSE |
Geostatistical toolbox in 2 & 3 D. |
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| FUNCTIONS |
ESDA
+ General statistics + Transformed (Box-Cox) models + Variogram analysis and fitting (OLS/WLS) + Variogram modelling by "eye:, least squares fitting, likelihood based methods, Bayesian methods
ESTIMATIONS
+ Simple Kriging, Ordinary Kriging, Universal Kriging, + Kriging with external drift + Gaussian simulations.
OTHERS
+ Cross validations |
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| FUNCTIONS |
ESDA
+ General statistics + Transformed (Box-Cox) models + Variogram analysis and fitting (OLS/WLS) + Variogram modelling by "eye", least squares fitting, likelihood based methods, Bayesian methods
ESTIMATIONS
+ Simple Kriging, Ordinary Kriging, Universal Kriging + Kriging with external drift + Gaussian simulations.
OTHERS
+ Cross validations |
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| 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). |
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