Bayesian age modeling of stratigraphy.
Project description
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 pip:
pip install stratage
Alternatively, use conda:
conda install conda-forge::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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file stratage-1.0.0.tar.gz.
File metadata
- Download URL: stratage-1.0.0.tar.gz
- Upload date:
- Size: 599.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2f173cb7d8ac06978aabd7fdd5224db7bf8ee2423352f78ca14759a7ce676e05
|
|
| MD5 |
dc324a6346995656e3ced24b4dedb074
|
|
| BLAKE2b-256 |
27902278f5084268a985aed6f9f110175fa329e4aa04a931689b51c671ac2cda
|
File details
Details for the file StratAge-1.0.0-py3-none-any.whl.
File metadata
- Download URL: StratAge-1.0.0-py3-none-any.whl
- Upload date:
- Size: 26.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
17575211004a96f9f4e08f7265af930c6f7ec9ccd9f46360e6dae8c96441e2d4
|
|
| MD5 |
03c5121484674a07a2cd99996540c0df
|
|
| BLAKE2b-256 |
c39017c60fde764ce5267d6d3ee7b24970826be2643ee860558a4ac30667b158
|
