StratAge

StratAge presents a novel approach to age-depth modeling of geologic stratigraphy. By modeling the distribution of time within beds as sedimentation rates and between beds as hiatuses, StratAge can leverage the structure of stratigraphy to inform the distribution of time within it.

StratAge uses Markov Chain Monte Carlo sampling to estimate posterior distributions of sedimentation rates and hiatus durations within a user-provided stratigraphy, given probabilistic geochronologic constraints. These model parameters can then be anchored in absolute time to yield a Bayesian age-depth model.

Installation

StratAge can be installed from PyPI:

pip install stratage

Usage

The best way to get a feel for StratAge is to read through the Toy Example, which presents the basic functionality of StratAge on a synthetic stratigraphy.

Full documentation can be found here, which also links to the package API.

Contents

• Toy Example
  • Synthetic Stratigraphy
  • Synthetic Geochronology
  • The stratage.Geochron Class
  • Least Squares Age-Depth Modeling
  • StratAge.AgeModel Bayesian Sampling
  • Generating age models
• Module Reference
  • stratage package
• License
• Changelog
  • v1.0