bakerjw Goto Github PK

accessibilitypaper

Collaboration with Jack Baker

bayareatransportation

Traffic model for the San Francisco Bay Area

bayesianchangepoint

Change point implementation on spatial Poisson processes

bayesianpsha

Matlab source code to compute dynamically updated seismic hazard

correlation-deviation-graph

cs_selection

Software for selecting earthquake ground motions to match a target conditional spectrum

damagedrivers

Data and code to accompany the paper "Uncovering Drivers of Atmospheric River Flood Damage using Interpretable Machine Learning" (doi:XX).

deep_learning_road_networks

fema_p58_damage_correlation

gmms

A collection of ground motion model functions

ground-motion-interpolation

Calculations for conditioning ground motions with uncertainty

imevaluationcausalinference

mse2001python

Files for the MSE2001 course Introduction to Python for Materials Engineers

ngaw2_correlations

Compute IM correlations from NGA-West2 ground motion data

nonrecovery-nepal

old-sites

A beautiful, simple, clean, and responsive Jekyll theme for academics

openfema-analysis

Some code to help query openFEMA data to better understand assistance to individuals and households following disasters in the United States

pulseclassification

Matlab scripts to implement the Shahi and Baker (2014) multi-component pulse classification algorithm

pypsha

Package for regional probabilistic seismic hazard analysis

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

random_fields

Multi-scale conditional simulation of random fields

rbd-optimization

Codebase for performing recovery-based design optimization

seismic-hazard-and-risk

Supporting calculations for the textbook Seismic Hazard and Risk Analysis

seismic-hazard-risk-class

Code supporting Jack Baker's seismic hazard and risk analysis class

spatial_pca

spatialcorrelationestimation

Matlab scripts to estimate spatial correlation and quantify estimation uncertainty

visual-inference-alpha

Contains the code, data, and preprint for "Statistical Significance Calculations for Scenarios in Visual Inference", which was submitted to Stat in August 2020.

wavelet_gm_simulation

Matlab software to simulate stochastic ground motions using wavelet packets