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

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..

Copy Link

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

Loaloa prevalence data from 197 village surveys
asImRaster

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

Murder locations
variog

Compute Empirical Variograms and Permutation Envelopes
glgm-methods

Generalized Linear Geostatistical Models
maternGmrfPrec

Precision matrix for a Matern spatial correlation
simLgcp

Simulate a log-Gaussian Cox process
inla.models

Valid models in INLA
rongelapUTM

Rongelap data
matern

Evaluate the Matern correlation function
likfitLgm

Likelihood Based Parameter Estimation for Gaussian Random Fields
lgm-methods

Linear Geostatistical Models
swissRainR

Raster of Swiss rain data
excProb

Exceedance probabilities
swissRain

Swiss rainfall data
nn32

Nearest neighbour matrices
squareRaster

Create a raster with square cells
RFsimulate

Simulation of Random Fields
wheat

Mercer and Hall wheat yield data
gambiaUTM

Gambia data
profLlgm

Joint confidence regions
spatialRoc

Sensitivity and specificity
krigeLgm

Spatial prediction, or Kriging