Global Prediction of Sand Modal Composition (GloPrSM)
v1.0.0 Updated April 19, 2022
Input data and code that accompanies Machine learning applied to a modern-Pleistocene petrographic dataset: The global prediction of sand modal composition (GloPrSM) model
J. Isaac Johnson, Glenn R. Sharman*, Eugene Szymanski, and Xiao Huang *Corresponding author (gsharman@uark.edu)
Submitted to Journal of Geophysical Research: Earth Surface
Full resolution outputs (.tif files) may be downloaded from Zenodo.