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RiskMap  

Geo-Statistical 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", "0.1.0")



Attach the package and use:
library("RiskMap")
Maintained by
Emanuele Giorgi
[Scholar Profile | Author Map]
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: Geo-Statistical Modeling of Spatially Referenced Data. R package version 0.1.0, https://cran.r-project.org/web/packages/RiskMap. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for RiskMap
Functions, R codes and Examples using the RiskMap R package
Full RiskMap package functions and examples
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