| title | date | output |
|---|---|---|
GeoModels Packakge |
md_document |
The GeoModels package provides a set of procedures for simulation, estimation and prediction of spatio-temporal random fields.
The main features of the package are:
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The type of data that can be modeled are: - spatial data - space time data with spatial location sites possibly changing over time - bivariate spatial data with (possibly different) spatial location sites
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Data can be defined on euclidean space or on a sphere of arbitrary radius
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The random fields can have the following marginal distributions:
- Gaussian
- Skew-Gaussian
- Student T
- Gamma
- Weibull
- LogGaussian
- Binomial
- Negative binomial
- Wrapped-Gaussian for directional data
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Parametric models for both regression and dependence analysis through covariance models
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Parametric (bivariate) spatial and spatiotemporal covariance models, including Matern, Generalized Wendland, Gneiting model, bivariate Matern
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Estimation methods:
- Pairwise likelihood (optional parallel computation with OpenCL)
- Full likelihood (when feasible)
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Optimal (linear) prediction