dissmodel

Land Use and Cover Change (LUCC) modeling — continuous and discrete allocation — on top of dissmodel

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.

External executor registry for DisSModel — TOML-based, PR-reviewed.

Canonical reference outputs of TerraME 2.0.1 + LuccME 3.1 (21 labs, per-year goldens, fill datasets, timing), generated in Docker and pinned by SHA-256 for reproducible parity benchmarks.

Domain-decomposition engine (blocks + halo/ghost cells) for cellular automata on rasters larger than RAM, integrated with dissmodel.

Organization website for the DisSModel ecosystem.

Two-volume book: Vol. I teaches geospatial Python from scratch (pandas, geopandas, rasterio, spatial statistics); Vol. II introduces DisSModel, our discrete spatial modeling framework. Work in progress, AI-assisted writing.

Spatial data catalog and raster derivation pipeline for simulation workflows.