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R software: Package GeoModels on CRAN and GitHub
This package provides a set of procedures for:
a) Simulation of Gaussian and some non Gaussian spatio (temporal), bivariate random fields using Cholesky decomposition,
turning band and circualnd embeeding methdos
b) Analysis can be performed using flexible correlation models including Matern models and its generalizations (Generalized Wendland and Kummer)
c) Analysis of spatial, spatio-temporal and bivariate random fields using standard and composite likelihood.
Data analysis involves estimation of both regression and covariance parameters for Gaussian and some non Gaussian
random fields with marginal distribution of different types such as:
SkewGaussian, Student T, Weibull, Gamma, LogGaussian, Binomial, Poisson, Negative binomial.
d) Kriging using (optimal) liner prediction.
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Some feature of the package:
- Estimation of both regression and covariance parameters.
- Analysis of space time data with temporally dynamic spatial locations.
- Analysis of bivariate spatial data for both isotopic and heterotopic case.
- Analysis of georeferenced data given in lon/lat format, using great circle or chordal distance.
- Support for sparse matrices algorithms using R spam package.
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