RandomFields (3.3.8)

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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) .

Maintainer: Martin Schlather
Author(s): 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]

License: GPL (>= 3)

Uses: RandomFieldsUtils, sp, RColorBrewer, colorspace, mvtnorm, spam, tkrplot, tcltk2, minqa, raster, optimx, pso, soma, GenSA, nloptr
Reverse depends: CircSpatial, DSpat, Geneland, geoR, glmmBUGS, lgcp, LS2Wstat, MarkedPointProcess, ProbForecastGOP, scpm, SoPhy, SpatialExtremes, spatstat, UncerIn2, WeedMap
Reverse suggests: CompRandFld, fractaldim, gear, geoR, geostatsp, IsoriX, prioritizr, rpanel, SAMCpack, SpaDES, SpaDES.core, SpaDES.tools, SpatialBSS, spatstat

Released 4 months ago.

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