Prepares a working folder in four steps. It needs internet and takes 20 to 60 minutes the first time, mostly downloads (about 1 GB). Running it again is safe: finished steps and files are kept, so after an interrupted download simply run it again.
Python with pyGPlates (plate rotations): a small Python environment is made with 'uv', which downloads Python 3.12 itself; no Python or conda installation is needed. It is kept in your R user data folder and shared by all working folders. If that fails, a conda environment "paleomap" is tried.
The open data sets into
data/: PaleoDEMs 0-540 Ma (Scotese and Wright 2018), PaleoCoastlines (Kocsis and Scotese 2021), PBDB collections, Macrostrat units and the sea-level curve of van der Meer et al. (2022); then the table of database records.The HadCM3L climate files (Valdes et al. 2021) of the chosen ages, about 30 MB per age.
The fossil-corrected grids of the chosen ages (1-2 minutes per age per core).
Usage
pm_setup(folder = pm_folder(), ages = "config", workers = NULL)Arguments
- folder
The working folder (see
pm_folder()).- ages
The map ages to prepare:
"config"(the Silurian ages 445-415 Ma),"all"(all 109 PaleoDEM ages, 0-540 Ma: several hours and about 3 GB of climate files), or ages in Ma such asc(300, 305, 310), each matched to the nearest PaleoDEM age. Other ages work in the editor too: choose them and press "Rebuild this age".- workers
The number of R processes for the corrected grids; by default up to 8, one less than the cores.
Examples
if (FALSE) { # \dontrun{
pm_setup() # the Silurian ages, in pm_folder()
pm_setup("D:/Maps/PaleoMapR", ages = seq(250, 200, by = -5))
} # }