DisSModel
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dissmodel-platform
dissmodel-platform PublicScalable execution platform for geospatial land-use/cover change simulations — JupyterLab, FastAPI, distributed workers, and S3-compatible storage via Docker Compose.
Jupyter Notebook 1
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disslucc-continuous
disslucc-continuous Public archivePython implementation of continuous LUCC modeling components (LUCCME-inspired), built on DisSModel.
Python 1
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dissmodel-ca
dissmodel-ca PublicCellular Automata (CA) library and examples for dissmodel, supporting both GeoDataFrame-based (vector) and NumPy-based (raster) models with interactive Streamlit explorers.
Python 1
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dissmodel-sysdyn
dissmodel-sysdyn PublicClassic System Dynamics models (SIR, Lorenz, Predator-Prey) built on dissmodel. Includes interactive Streamlit explorers and CLI tools.
HTML 1
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dissmodel.github.io
dissmodel.github.io PublicOrganization website for the DisSModel ecosystem.
HTML
Repositories
- dissmodel Public
A modular Python framework for spatially explicit dynamic modeling, Cellular Automata, and System Dynamics.
- disslucc Public
Land Use and Cover Change (LUCC) modeling — continuous and discrete allocation — on top of dissmodel
- haloexec Public
Domain-decomposition engine (blocks + halo/ghost cells) for cellular automata on rasters larger than RAM, integrated with dissmodel.
- disslucc-discrete Public archive
A Python library that provides a CLUE-S like allocation algorithm with logistic regression for potential estimation.
- disslucc-continuous Public archive
Python implementation of continuous LUCC modeling components (LUCCME-inspired), built on DisSModel.
- dissmodel-abm Public
Agent-Based Modeling extension for dissmodel, with a Society/Agent API inspired by TerraME. Includes RandomWalk, PredatorPrey, and Schelling models.
- dissmodel-sysdyn Public
Classic System Dynamics models (SIR, Lorenz, Predator-Prey) built on dissmodel. Includes interactive Streamlit explorers and CLI tools.
- dissmodel-ca Public
Cellular Automata (CA) library and examples for dissmodel, supporting both GeoDataFrame-based (vector) and NumPy-based (raster) models with interactive Streamlit explorers.
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