The gcammaptools package provides functions for plotting GCAM data on world or regional maps. This includes functions for making plots for regional or gridded data, as well as default projection and theme settings that provide a house style for GCAM plots.

This package must be installed from the github repository using install_github. To do this, you will need to install devtools first if you don't have it already.

install.packages('devtools') # if you don't have it already
devtools::install_github('JGCRI/gcammaptools')

Optionally, you can build the "examples" vignette, which shows how to do several common mapping tasks. To build these examples, replace the install_github command above with:

devtools::install_github('JGCRI/gcammaptools', dependencies=TRUE,
                         build_vignettes=TRUE)

You can display the vignette by running

vignette('examples','gcammaptools')

Sometimes R can't find the CRAN repository without help. If during the install_github steps you get errors about missing packages or functions, rerun them with the repos option:

cran <- 'http://cran.us.r-project.org'
devtools::install_github('JGCRI/gcammaptools', build_vignettes=TRUE,
                         dependencies=TRUE, repos=cran)

This should allow R to fetch the packages it needs to complete the installation from CRAN.

The recommended way to load your GCAM data is by using the rgcam package create a project data file from a GCAM database, and then querying that file for the data you want to plot.

prj <- rgcam::loadProject('myproj.dat')
co2 <- rgcam::getQuery(prj, 'CO2 emissions by region', 'Reference')

Alternatively, you can start with any data frame that has a region column and one or more data columns.

Once you have loaded the data, you must add the region identifiers used in the map data to the data frame using the add_region_ID function:

co2 <- add_region_ID(co2)

The main plotting function is plot_GCAM. You can supply your own map of region boundaries, but most of the time you will want to use the ones supplied with the package. plot_GCAM:

plot_GCAM(map.rgn32, col='value', gcam_df=co2, title='CO2 Emissions', legend=TRUE)