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geostatsp (version 1.4.0)

Geostatistical Modelling with Likelihood and Bayes

Description

Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation.

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Version

Install

install.packages('geostatsp')

Monthly Downloads

367

Version

1.4.0

License

GPL

Maintainer

Patrick Brown

Last Published

March 4th, 2016

Functions in geostatsp (1.4.0)

conditionalGmrf

Conditional distribution of GMRF

Evaluate the Matern correlation function

Precision matrix for a Matern spatial correlation

Raster of Swiss rain data

Valid models in INLA

Compute Empirical Variograms and Permutation Envelopes

Convert a raster to an im object

Mercer and Hall wheat yield data

Simulation of Random Fields

Spatial prediction, or Kriging

Joint confidence regions

Nearest neighbour matrices

Simulate a log-Gaussian Cox process

Loaloa prevalence data from 197 village surveys

Murder locations

Swiss rainfall data

Exceedance probabilities

Create a raster with square cells

Sensitivity and specificity

stackRasterList

Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.

Linear Geostatistical Models

Likelihood Based Parameter Estimation for Gaussian Random Fields

Generalized Linear Geostatistical Models