|AUTHOR|| Edzer J. Pebesma
Dept. of Physical Geography
P.O. Box 80.115
3508 TC Utrecht
|PLATFORM||Windows & UNIX. Platforms running R|
|PURPOSE||Program for uni- or multivariable geostatistical modelling, prediction and simulation.|
|FUNCTIONS|| + variogram, cross variogram, covariogram or cross covariogram calculation;
+ modeling of nested models, interactively or non-interactively
+ pooled (within-class) variogram estimation
+ variogram maps
+ ordinary kriging, simple kriging, multivariable universal kriging with arbitrary base functions
+ kriging with external drift
+ reading observations, prediction locations, and base function values for universal kriging or category numbers for stratified kriging
+ stratified universal kriging
+ conditional and unconditional Gaussian simulation
+ Indicator simulation for simple, categorical or cumulative indicators
+ block predictions for rectangular blocks or arbitrarily shaped blocks
+ Gaussian simulation of block averages conditioned on point observations
+ concise, intuitive command language that allows batch processing and eases documentation
+ Map formats supported are PCRaster, Idrisi, Arc-Info/ArcView+SpatialAnalyst (gridascii and gridfloat), Grass, ER-Mapper, GMT, and SURFER .
+ writing maps with predictions, simulated values, error variances and error covariances
+ optionally ascii input and output (independence from GIS formats)
|CODES||C codes are available, R version available|
|TIP|| Graphical user interface for Gstat have been developed: one within the PCRaster project, the other one for IDRISI.
The authors of GRASS also adopted Gstat as their geostatistical add-on module.
Gstat has two mailing lists: one for announcements, and one for questions and discussions.
|HOMEPAGE|| Home: www.gstat.org
Edzer J. Pebesma and Cees G. Wesseling, 1998,
Gstat: a program for geostatistical modelling, prediction and simulation.
Computers & Geosciences Vol. 24, No. 1, pp. 17-31
Pebesma, E.J., 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30: 683-691.