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Geographically weighted partial correlation mapper
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gwpcor/gwpcormapper
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a web-based tool for interactive geographically weighted correlation mapping
This project holds the source code forgwpcorMapper: an R package for exploratory spatial data analysisthrough the interactive mapping of geographically weighted correlation and partial correlation coefficients.
Install thegwpcormapper package from CRAN by:
install.packages("gwpcormapper")or get the latest version from GitHub viaremotes:
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 gwpcormapperTo run via docker, please ensure thatdocker is installed.
Please see the getting started vignette for more detailed instructions and examples in using thegwpcormapper package.
The default basemap used isCARTO DarkMatterhowever, this may be changed by declaring either a web-tile source URL or by specifying amapbox styleas an environmental variable. Please follow the guide for detailed instructions on using custom base maps.
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 atdev/run_dev.R
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Geographically weighted partial correlation mapper
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