.. STRATICA documentation master file
STRATICA Documentation
======================
Welcome to **STRATICA** — Stratigraphic Pattern Recognition & Paleoclimatic Temporal Reconstruction.
A Physics-Informed AI Framework for Deep-Time Earth System Reconstruction, Stratigraphic Layer Intelligence, and Paleoclimatic Cycle Decoding via the Temporal Climate Integrity Index (TCI).
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Quick Links
-----------
- **GitHub Repository:** https://github.com/gitdeeper8/STRATICA
- **GitLab Mirror:** https://gitlab.com/gitdeeper8/STRATICA
- **Live Dashboard:** https://stratica.netlify.app
- **PyPI Package:** https://pypi.org/project/stratica/
- **Research Paper DOI:** 10.5281/zenodo.18851076
What is STRATICA?
-----------------
STRATICA presents the first unified, multi-parameter Physics-Informed AI framework for the systematic reconstruction, computational modeling, and temporal interpretation of Earth's stratigraphic record across **4.5 billion years**.
The framework integrates **nine analytically independent stratigraphic and geochemical parameters** into a single **Temporal Climate Integrity Index (TCI)** , achieving paleoclimate classification accuracy of **96.2%** across 47 sedimentary basins on 6 continents.
Key Features
~~~~~~~~~~~~
✓ **Temporal Back-Casting** — Transformer-LSTM hybrid architectures reconstruct missing geological records
✓ **Nine-Parameter TCI** — Integrated composite metric balancing all paleoclimate proxy types
✓ **Physics-Informed Neural Network** — Hard constraints enforce stratigraphic, thermodynamic, and orbital coherence
✓ **Extensive Validation** — 47 sedimentary basins, 12 IODP drill cores, 8 ice core records (800,000 years)
✓ **Real-Time Dashboard** — Interactive paleoclimate exploration and analysis platform
Performance at a Glance
~~~~~~~~~~~~~~~~~~~~~~
.. list-table::
:header-rows: 1
:widths: 40 20 20 20
* - Metric
- STRATICA
- Previous
- Improvement
* - TCI Classification Accuracy
- 96.2%
- 81.4%
- +14.8 pp
* - δ¹⁸O Back-cast RMSD
- 0.0018 ‰
- 0.0063 ‰
- 71% reduction
* - Milankovitch Cycle Detection
- ±1,200 yr
- ±8,500 yr
- 7x improvement
* - Magnetostratigraphy Age Accuracy
- ±3.4%
- ±11.2%
- 3.3x improvement
* - Microfossil Classification (CNN)
- 93.4%
- 71.8%
- +21.6 pp
* - Drill Core Processing Speed
- 4 hrs/200m
- 6-12 months
- 500-2000x faster
Contents
--------
.. toctree::
:maxdepth: 2
:caption: Getting Started
installation
quick_start
.. toctree::
:maxdepth: 2
:caption: API Reference
api/core
api/parameters
.. toctree::
:maxdepth: 2
:caption: Case Studies
case_studies/petm
.. toctree::
:maxdepth: 1
:caption: Reference
glossary
contact
The Nine TCI Parameters
-----------------------
.. list-table::
:header-rows: 1
:widths: 15 10 10 65
* - Parameter
- Symbol
- Weight
- Description
* - Lithological Deposition Rate
- LDR
- 20%
- Rate of sediment accumulation as function of basin subsidence and compaction
* - Stable Isotope Fractionation
- ISO
- 15%
- δ¹⁸O / δ¹³C ratios encoding palaeotemperature and carbon cycle state
* - Micro-Fossil Assemblage
- MFA
- 12%
- AI-classified foraminifera, nannofossils, and palynomorphs
* - Magnetic Susceptibility
- MAG
- 11%
- Ferrimagnetic mineral content recording geomagnetic reversals
* - Geochemical Anomaly Index
- GCH
- 10%
- Trace element signatures detecting bolide impacts and anoxic events
* - Palynological Yield Score
- PYS
- 9%
- Pollen and spore assemblage diversity encoding vegetation history
* - Varve Sedimentary Integrity
- VSI
- 8%
- Annual lamination preservation in lacustrine sediments
* - Thermal Diffusion Model
- TDM
- 8%
- Subsurface heat flow modeling quantifying burial depth and maturity
* - Cyclostratigraphic Energy Cycle
- CEC
- 7%
- Spectral power at Milankovitch orbital periods for astronomical calibration
Citation
--------
If you use STRATICA in your research, please cite:
**BibTeX:**
.. code-block:: bibtex
@software{baladi2026stratica,
author = {Baladi, Samir},
title = {STRATICA: Stratigraphic Pattern Recognition & Paleoclimatic Temporal Reconstruction},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.18851076},
url = {https://github.com/gitdeeper8/STRATICA}
}
**APA:**
.. code-block:: text
Baladi, S. (2026). STRATICA: Stratigraphic Pattern Recognition & Paleoclimatic Temporal Reconstruction [Software]. Zenodo. https://doi.org/10.5281/zenodo.18851076
License
-------
This project is licensed under the **Creative Commons Attribution 4.0 International License (CC-BY-4.0)**.
See `LICENSE `_ for details.
Contact & Support
-----------------
**Principal Investigator:** Samir Baladi
- Email: gitdeeper@gmail.com
- ORCID: `0009-0003-8903-0029 `_
- Phone: +16142642074
**Affiliation:** Ronin Institute for Independent Scholarship
**Division:** Geological Deep-Time & Geospatial Intelligence Division
Indices and Tables
------------------
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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