Simulation and Analysis of Random Fields

Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields. Main geostatistical parts are based on the books by Christian Lantuejoul , Jean-Paul Chiles and Pierre Delfiner and Noel A. Cressie . For the extreme value random fields see Oesting, Schlather, Schillings (2019) and Schlather (2002) .


Reference manual

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3.3.8 by Martin Schlather, a year ago

Browse source code at

Authors: Martin Schlather [aut, cre] , Alexander Malinowski [aut] , Marco Oesting [aut] , Daphne Boecker [aut] , Kirstin Strokorb [aut] , Sebastian Engelke [aut] , Johannes Martini [aut] , Felix Ballani [aut] , Olga Moreva [aut] , Jonas Auel[ctr] , Peter Menck [ctr] , Sebastian Gross [ctr] , Ulrike Ober [ctb] , Paulo Ribeiro [ctb] , Brian D. Ripley [ctb] , Richard Singleton [ctb] , Ben Pfaff [ctb] , R Core Team [ctb]

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data, Handling and Analyzing Spatio-Temporal Data

GPL (>= 3) license

Imports graphics, methods, grDevices, stats, utils

Depends on sp, RandomFieldsUtils

Suggests colorspace, RColorBrewer, mvtnorm, raster, tcltk2, tcltk, tkrplot, spam, tools, minqa, soma, optimx, nloptr, pso, GenSA

Linking to RandomFieldsUtils

Imported by AHMbook, CompRandFld, constrainedKriging, geoR, georob, lgcp, raptr, spagmix, spatsurv, varycoef.

Depended on by LS2Wstat, scpm.

Suggested by IsoriX, SpaDES.core,, SpatialBSS, fractaldim, geostatsp, prioritizr, rpanel, spatstat.core.

See at CRAN