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geostatsp (version 1.5.4)

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

1.5.4

License

GPL

Maintainer

Patrick Brown

Last Published

July 19th, 2017

Functions in geostatsp (1.5.4)

lgm-methods

Linear Geostatistical Models

likfitLgm

Likelihood Based Parameter Estimation for Gaussian Random Fields

simLgcp

Simulate a log-Gaussian Cox process

spatialRoc

Sensitivity and specificity

gambiaUTM

Gambia data

glgm-methods

Generalized Linear Geostatistical Models

squareRaster

Create a raster with square cells

stackRasterList

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

variog

Compute Empirical Variograms and Permutation Envelopes

wheat

Mercer and Hall wheat yield data

conditionalGmrf

Conditional distribution of GMRF

excProb

Exceedance probabilities

maternGmrfPrec

Precision matrix for a Matern spatial correlation

murder

Murder locations

RFsimulate

Simulation of Random Fields

asImRaster

Convert a raster to an im object

profLlgm

Joint confidence regions

Spatial prediction, or Kriging

loaloa

Loaloa prevalence data from 197 village surveys

matern

Evaluate the Matern correlation function

swissRain

Swiss rainfall data

swissRainR

Raster of Swiss rain data