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RiskMap  

Geostatistical Modeling of Spatially Referenced Data
View on CRAN: Click here


Download and install RiskMap package within the R console
Install from CRAN:
install.packages("RiskMap")

Install from Github:
library("remotes")
install_github("cran/RiskMap")

Install by package version:
library("remotes")
install_version("RiskMap", "1.0.0")



Attach the package and use:
library("RiskMap")
Maintained by
Emanuele Giorgi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-06-25
Latest Update: 2024-06-25
Description:
Provides functions for geo-statistical analysis of both continuous and count data using maximum likelihood methods. The models implemented in the package use stationary Gaussian processes with Matern correlation function to carry out spatial prediction in a geographical area of interest. The underpinning theory of the methods implemented in the package are found in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).
How to cite:
Emanuele Giorgi (2024). RiskMap: Geostatistical Modeling of Spatially Referenced Data. R package version 1.0.0, https://cran.r-project.org/web/packages/RiskMap. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 0.1.0 (2024-06-25 16:40)
Other packages that cited RiskMap R package
View RiskMap citation profile
Other R packages that RiskMap depends, imports, suggests or enhances
Complete documentation for RiskMap
Functions, R codes and Examples using the RiskMap R package
Full RiskMap package functions and examples
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