README.Rmd

output: github_document

mapMCDA

knitr::opts_chunk$set(
  collapse = TRUE,
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mapMCDA helps producing risk maps by weighting risk factors using expert knowledge.

The typical use case is the lack of (reliable) data about the epidemics of a disease, but available information about well known risk factors (e.g. animal density, proximity to border, proximity to water courses, etc.).

In order to design a stratified sampling or a surveillance campaign, a preliminary risk map based on expert judgement is required.

This package (and method) provides a systematic and guided approach to build such maps.

The package include a Graphical User Interface (Shiny) that helps in processing and weighting risk factors.

library(mapMCDA)
mapMCDA_app()

Installing the package

mapMCDA is on its way to CRAN. In the meanwhile, install from our r-universe as follows

# Install mapMCDA in R:
install.packages('mapMCDA', repos = c('https://cirad-astre.r-universe.dev', 'https://cloud.r-project.org'))

Getting help online

Bug reports and feature requests should be posted on GitLab using the issue system.

For support, reach out in the mapMCDA mailing list. Archives are of public access.

Contributions are welcome via pull requests.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.