gwpcorMapper

a web-based tool for interactive geographically weighted correlation mapping

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This project holds the source code for gwpcorMapper: an R package for exploratory spatial data analysis through the interactive mapping of geographically weighted correlation and partial correlation coefficients.

Installation and Usage

Install the gwpcormapper package from CRAN by:

install.packages("gwpcormapper")

or get the latest version from GitHub via remotes:

remotes::install_github("gwpcor/gwpcormapper")

Then, launch the application by running the following in an R terminal:

gwpcormapper::run_app()

Alternatively, gwpcorMapper can be built and launched using docker:

docker build -t gwpcormapper .
docker run -p 80:80 gwpcormapper 

To run via docker, please ensure that docker is installed.

Please see the getting started vignette for more detailed instructions and examples in using the gwpcormapper package.

Map Styles (Base Maps)

The default basemap used is CARTO DarkMatter however, this may be changed by declaring either a web-tile source URL or by specifying a mapbox style as an environmental variable. Please follow the guide for detailed instructions on using custom base maps.

Local Installation (for development):

To run the application locally, make sure the following dependencies are installed:

• R (>= 3.6.3)
• GDAL (>= 2.4.0)
• GEOS (>= 3.7.1)
• Proj.4 (>= 4.8.0)

Then launch the Shiny app by running the code at dev/run_dev.R