Learn R Programming

⚠️There's a newer version (2.0.8) of this package.Take me there.

geostatsp (version 1.7.8)

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. For details see Brown (2015) .

Copy Link

Version

Install

install.packages('geostatsp')

Monthly Downloads

521

Version

1.7.8

License

GPL

Maintainer

Patrick Brown

Last Published

April 16th, 2019

Functions in geostatsp (1.7.8)

Mercer and Hall wheat yield data

Linear Geostatistical Models

PC prior for range parameter

Likelihood Based Parameter Estimation for Gaussian Random Fields

stackRasterList

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

Convert a raster to an im object

Joint confidence regions

conditionalGmrf

Conditional distribution of GMRF

Exponentiate posterior quantiles

Exceedance probabilities

Precision matrix for a Matern spatial correlation

Raster of Swiss rain data

Compute Empirical Variograms and Permutation Envelopes

Simulation of Random Fields

Sensitivity and specificity

squareRaster-methods

Create a raster with square cells

Loaloa prevalence data from 197 village surveys

Generalized Linear Geostatistical Models

Simulate a log-Gaussian Cox process

Murder locations

Evaluate the Matern correlation function

Valid models in INLA

Spatial prediction, or Kriging

Swiss rainfall data