📦🐍 Python package to model and forecast the risk of deforestation

🌍 📝 Modelling and forecasting deforestation in the tropics

MUSE is an urban expansion-oriented open-access land change simulation software built upon cellular automata modeling scheme. It used multiple patch generation engines to emulate the process of urban development, thus scaling up the representation of urban development events from cell to patch level, in line with real-world mechanisms.

Python code accompanying: "Feeding-efficiency-gains-can-increase-the-greenhouse-gas-mitigation-potential-of-Tanzania's-dairy-sector"

R code for Mariana Orsini's MSc thesis

A simple factor-cluster analysis on global deforestation patterns based on FAO data.

Global sensitivity analysis for climate/land-use change co-extinctions analysis