Geostatistical Modeling of Spatially Referenced Data R package RiskMap version 1.0.0 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). Software Depends: R (>= 3.5.0) Imports: stats, methods, Matrix, terra, xtable, graphics, spatialEco, spatialsample, Deriv, numDeriv, dplyr, ggplot2, ggpubr, gridExtra, sf, sns, stars Emanuele Giorgi <e.giorgi@bham.ac.uk> Comprehensive R Archive Network (CRAN) Emanuele Giorgi [aut, cre] (ORCID: <https://orcid.org/0000-0003-0640-181X>), Claudio Fronterre [ctb] (ORCID: <https://orcid.org/0000-0001-6723-9727>) MIT + file LICENSE (https://CRAN.R-project.org/package=RiskMap/LICENSE) 2025-10-09 application/tgz https://CRAN.R-project.org/package=RiskMap doi:10.32614/CRAN.package.RiskMap