A Python toolbox for earthquake source uncertainty quantification and propagation
pythonearthquakesuncertainty-quantificationhazard-assessmentuncertainty-propagationopenquakeground-motionurgent-computingshakemap
-
Updated
Sep 1, 2026 - Python
#
shakemap
Here are 4 public repositories matching this topic...
Census tract-level earthquake resilience modeling for the City of Los Angeles power grid that compares substation repair prioritization for network connectivity, service restoration, and equity, using network centrality metrics and k-means census-tract resilience typologies.
monte-carlonetwork-sciencepcak-meansnetwork-analysislos-angelesresiliencedisaster-recoveryearthquakecentralityrestorationtransmission-networkcensus-tractspower-gridshakemapinfrastructure-resiliencefragility-analysis
-
Updated
May 22, 2026 - Python
Ground-motion fields for Hazard and Risk Applications
risk-analysishazardearthquakespatial-correlationground-motion-simulationshakemapground-motion-modelground-motion-fields
-
Updated
Aug 4, 2026 - Python
Supplementary material for: The 2010 Haiti earthquake revisited: an acoustic intensity map from remote atmospheric infrasound observations
-
Updated
Jan 23, 2021 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the shakemap topic, visit your repo's landing page and select "manage topics."