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Consider storing data in the standard local directory returned by tools::R_user_dir(package = "soilDB", which = "cache") i.e. "C:/Users/<User.Name>/AppData/Roaming/R/data/R/soilDB"
Would probably be useful to provide a couple functions to streamline access, versioning, and cleanup of the cache.
This would be helpful for providing more realistic testing datasets, and also separating large or complex datasets from the package installation itself--making the installation smaller and less prone to issues.
The text was updated successfully, but these errors were encountered:
Consider storing data in the standard local directory returned by
tools::R_user_dir(package = "soilDB", which = "cache")
i.e."C:/Users/<User.Name>/AppData/Roaming/R/data/R/soilDB"
Would probably be useful to provide a couple functions to streamline access, versioning, and cleanup of the cache.
For starters, we could cache the MLRA polygons that are returned by
fetchSDA_spatial(geom.src = "mlrapolygon")
downloaded from https://www.nrcs.usda.gov/sites/default/files/2022-10/MLRA_52_2022.zipThis would be helpful for providing more realistic testing datasets, and also separating large or complex datasets from the package installation itself--making the installation smaller and less prone to issues.
The text was updated successfully, but these errors were encountered: