PRIO-GRID version 3 is currently under development. Follow this space.
Please see the legacy branch for the source code for PRIO-GRID v2, and https://grid.prio.org for data from version 2. The legacy3alpha contains code for a pilot to PRIO-GRID v3.
We rely on the simple-features and terra packages. Please see these packages for installation.
install.packages("renv")
renv::install("prio-data/priogrid")
source("data_raw/pgsources.R")
source("data_raw/pgvariables.R")
source("data_raw/pgchecksum.R")
You might need to additionally follow install instructions on https://github.com/rspatial/terra and https://github.com/isciences/exactextractr (geos). If you are prompted with a package that is missing, it will usually work just by renv::install("package_name"). If you in addition would file an issue on the package you needed to install, we would greatly appreciate it.
When installing packages from source, a common issue is that RStudio does not always have access to the same system paths for binary files as your terminal. Adding such paths e.g. PATH = /my/path:/another/path
to ~/.Renviron
might help. You can see which binary paths R have access to by writing Sys.getenv("PATH")
. An alternative to setting paths in .Renviron is to add them in R using Sys.setenv(PATH = paste0(Sys.getenv("PATH"), ":/my/path"))
. There is also a known issue when using Homebrew in MacOS when installing the sf and terra packages that require special attention. The install instructions on their github pages describe how to fix this.
This is work in progress. However, here are some features we are working on.
library(priogrid)
# downloading all data will require a lot of space (and increasing). set this to somewhere you have available space.
pgoptions$set_rawfolder("/path/to/where/you/want/files")
# an ongoing collection of meta-data for data sources. Not all of these are (or will be) incorporated in PRIO-GRID.
pgsources
# How to download the raw-data.
files_to_download <- pg_rawfiles() |> head()
download_pg_rawdata(file_info = files_to_download)
# How to read raw-data into R.
cshp <- read_cshp()
# How to calculate PRIO-GRID data
gwcode <- gen_cshapes_gwcode()
# Transform it to data.frame
gwcode |> rast_to_df(static = FALSE, varname = "gwcode")
# How to cite the data.
get_bibliography(keys = "schvitzMappingInternationalSystem2022")
# How to calculate all PRIO-GRID (takes a long time)
calculate_pgvariables() # Saves all rasters in your raw_folder/priogrid/version
pg <- collate_pgdata()
pg$static |> head()
pg$non_static |> head()
We are planning on having a server automatically calculating and updating PRIO-GRID and serving the end-result on a web-server (for a few resolutions). However, anyone can re-calculate in their own preferred resolution, etc. Having easy access to all stages in the data-process also makes it useful for researchers wanting to make their own accomodations.