pyDTDM
Python library for deep-time spatiotemporal geological data analysis and paleogeographic reconstruction
Core Capabilities
Plate tectonic modeling and Earth surface reconstruction
Multi-dimensional dataset analysis (NetCDF, GeoTIFF, vector, GPML)
Machine learning integration (Random Forests, Deep Learning, EBM)
YAML-based configuration for flexible pipeline control
Plate kinematics, mantle convection, and paleoclimate data fusion
Explainable AI models for transparent geoscientific understanding
2D/3D visualization and publication-ready figure generation
Applications
Plate tectonic reconstruction and paleogeography modeling
Spatiotemporal mineral exploration with ML prediction
Deep time climate, topography, and basin evolution analysis
Model diagnostics with uncertainty and feature importance tracking