`mapMCDA` helps producing **risk maps** by weighting **risk factors**
using **expert knowledge**.
`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.).
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 preliminar risk map based on expert judgement is required.
In order to design a **stratified sampling** or a **surveillance campaign**, a preliminar risk map based on expert judgement is required.
This package (and method) provides a systematic and guided approach to
build such maps.
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.
The package include a Graphical User Interface (Shiny) that helps in processing and weighting risk factors.
``` r
library(mapMCDA)
...
...
@@ -35,22 +29,16 @@ mapMCDA_app()
## Installing the package
Installing the package
----------------------
`mapMCDA` is on its way to CRAN. In the meanwhile, install from GitLab
as
follows.
`mapMCDA` is on its way to CRAN. In the meanwhile, install from GitLab as follows.
<!-- To install the current stable, CRAN version of the package, type: -->
<!-- ```{r install, eval = FALSE} -->
<!-- install.packages("mapMCDA") -->
<!-- ``` -->
<!-- To benefit from the latest features and bug fixes, install the development, version of the package using: -->
Bug reports and feature requests should be posted on *GitLab* using the [*issue*](http://forgemia.inra.fr/umr-astre/mapMCDA/issues) system.
For support, reach out in the [mapMCDA mailing
list](https://listes.cirad.fr/sympa/info/mapmcda). Archives are of
public access.
For support, reach out in the [mapMCDA mailing list](https://listes.cirad.fr/sympa/info/mapmcda). Archives are of public access.
Contributions are welcome via **pull requests**.
Please note that this project is released with a [Contributor Code of
Conduct](CONDUCT.md). By participating in this project you agree to
abide by its terms.
Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.
