SURF: Spatial Uncertainty Research Framework (beta version 1.0)

SURF is used to study the spatial variability and hidden patterns in large datasets. Initial alpha versions were implemented for spatial uncertainty quantification. SURF creates surrogate models that assist users in making predictions. This library features both classical random field models and machine-learning algorithms as the backends for spatial uncertainty quantification. It has been incorporated in SimCenter efforts such as the hurricane and earthquake testbeds for uncertainty quantification and data enhancement.

Links:

Source code in GitHub

DOI

NEW: Join the Discussion

  • submit questions and get answers
  • provide user feedback
  • post feature requests
  • get bug reports

 

How to cite:

Charles Wang. (2021). NHERI-SimCenter/SURF: v1.0 (v1.0). Zenodo. https://doi.org/10.5281/zenodo.4521805