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PaleoSTeHM (A modern, scalable Spatio-Temporal Hierarchical Modeling framework for paleo-environmental data) is a paleo-environmental modelling faced API based upon pyro, a universal probabilistic programming language supported by PyTorch on the backend. This API provides easy-to-use models to infer the spatio or spatio-temporal variation of environmental change from geological data, with tutorials that cover the background theories and hand-on practicals.

PaleoSTeHM is being developed by the Rutgers Earth System Science & Policy Lab and is now activaly managed by Yucheng Lin with Committee members (Robert Kopp, Andrew Kemp and Juliet Sefton). PaleoSTeHM is released under the MIT license.

PaleoSTeHM github page can be found at:

https://github.com/radical-collaboration/PaleoSTeHM.git

PaleoSTeHM paper page can be found at:

https://egusphere.copernicus.org/preprints/2024/egusphere-2024-2183/

If you have any questions please contact Yucheng: yc.lin@rutgers.edu.

Contents:

• Installation
  • Local Installation
  • Google Colab Installation
  • Pip Installation
• Tutorial Contents
  • Video Tutorial
  • Introduction
  • Temporal Gaussian Process
  • Spatio-temporal Gaussian Process
  • Applications
  • PaleoSTeHM User Interface
• API Reference
  • PaleoSTeHM
    • PSTHM.kernels module
    • PSTHM.load module
    • PSTHM.model module
    • PSTHM.opti module
    • PSTHM.plotting module
    • PSTHM.post module

Indices and tables

• Index

• Module Index

• Search Page