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 Giorgi [aut, cre], Claudio Fronterre [ctb]
Maintainer:	Emanuele Giorgi <e.giorgi at bham.ac.uk>
License:	MIT + file LICENSE
URL:	https://claudiofronterre.github.io/RiskMap/
NeedsCompilation:	no
Materials:	README
CRAN checks:	RiskMap results

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