Research library
Read the story behind the model, the architecture of the Studio, and the methods that make each scenario interpretable.
The reference study introduced BR-MANGUE as a spatially explicit cellular model for exploring mangrove response to sea-level rise on Maranhão Island, Brazil. Its rules and assumptions form the scientific starting point for the Studio architecture.
The new Python application preserves the model logic while adding a project workflow, class mapping, annual outputs, visual monitoring, and Windows distribution.
A practical explanation of how categorical rasters become model roles, how optional suitability works, and how mangrove loss and migration are recorded year by year.
The full-CMMA + ANADEM benchmark measures one annual transition on 78.007 million active cells. Both engines produced identical annual trajectories and final maps.
Open the benchmark note →Publish here
Articles, dissertations, technical notes, project reports, and application stories will be registered directly in this library. Each entry can include its abstract, authors, year, figures, and downloadable files.
