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RiskMap: Geostatistical Modeling of Spatially Referenced Data

Geostatistical analysis of continuous and count data. Implements stationary Gaussian processes with Matérn correlation for spatial prediction, as described in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).

Version:1.0.0
Depends:R (≥ 3.5.0)
Imports:stats, methods,Matrix,terra,xtable, graphics,spatialEco,spatialsample,Deriv,numDeriv,dplyr,ggplot2,ggpubr,gridExtra,sf,sns,stars
Published:2025-10-09
DOI:10.32614/CRAN.package.RiskMap
Author:Emanuele GiorgiORCID iD [aut, cre], Claudio FronterreORCID iD [ctb]
Maintainer:Emanuele Giorgi <e.giorgi at bham.ac.uk>
License:MIT + fileLICENSE
URL:https://claudiofronterre.github.io/RiskMap/
NeedsCompilation:no
Materials:README
CRAN checks:RiskMap results

Documentation:

Reference manual:RiskMap.html ,RiskMap.pdf

Downloads:

Package source: RiskMap_1.0.0.tar.gz
Windows binaries: r-devel:RiskMap_1.0.0.zip, r-release:RiskMap_1.0.0.zip, r-oldrel:RiskMap_1.0.0.zip
macOS binaries: r-release (arm64):RiskMap_1.0.0.tgz, r-oldrel (arm64):RiskMap_1.0.0.tgz, r-release (x86_64):RiskMap_1.0.0.tgz, r-oldrel (x86_64):RiskMap_1.0.0.tgz
Old sources: RiskMap archive

Linking:

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