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geostatsp (version 1.2.1)

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

379

Version

1.2.1

License

GPL

Maintainer

Patrick Brown

Last Published

February 27th, 2015

Functions in geostatsp (1.2.1)

Loaloa prevalence data from 197 village surveys

Convert a raster to an im object

conditionalGmrf

Conditional distribution of GMRF

stackRasterList

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

Murder locations

Compute Empirical Variograms and Permutation Envelopes

Generalized Linear Geostatistical Models

Precision matrix for a Matern spatial correlation

Simulate a log-Gaussian Cox process

Valid models in INLA

Evaluate the Matern correlation function

Likelihood Based Parameter Estimation for Gaussian Random Fields

Linear Geostatistical Models

Raster of Swiss rain data

Exceedance probabilities

Swiss rainfall data

Nearest neighbour matrices

Create a raster with square cells

Simulation of Random Fields

Mercer and Hall wheat yield data

Joint confidence regions

Sensitivity and specificity

Spatial prediction, or Kriging