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Traceable land-use change experiment from open data with DisSModel, DisSCube and DisSLUCC: declared sources, a grid on the Brazil Data Cube mesh, a verification model, a run record and acceptance criteria, repeatable at four levels with make.
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Oct 23, 2026 - Python
Classic System Dynamics models (SIR, Lorenz, Predator-Prey) built on dissmodel. Includes interactive Streamlit explorers and CLI tools.
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Nov 4, 2026 - Python
Land Use and Cover Change (LUCC) modeling — continuous and discrete allocation — on top of dissmodel
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Nov 7, 2026 - Python
Agent-Based Modeling extension for dissmodel, with a Society/Agent API inspired by TerraME. Includes RandomWalk, PredatorPrey, and Schelling models.
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Nov 4, 2026 - Python
Parity benchmark of DisSLUCC against the canonical LuccME goldens (luccme-goldens): cell-by-cell comparison, spatial metrics and timing.
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Oct 16, 2026 - Python
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