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In this course we will introduce the students to topics and technics in spatial modeling. We will start with a brief theoretical introduction, with a focus on modeling of land use and cover change (LUCC) and related phenomena, discussing key papers and the state of the art of the discipline. In practical and theoretical seminars, the student will receive in-depth knowledge on the concept, method, and application of spatial modeling to the human-environment system, using different modeling platforms. A practical experience on the application of regression to analyze drivers of landuse change. Using XULU, an eXtendable Unified LandUse Modeling Platform, the student will learn how to model with SLEUTH (i.e. cellular automata-based simulation) to model land-use allocation in their respective case studies.. Using Dinamica-EGO (https://csr.ufmg.br/dinamica/), we will explore a Bayesian method of land use change allocation (i.e. Weights of Evidence) and experiment with advanced modeling topics, such as data integration (e.g. tabular and spatial data), working with subregions, and integration of landscape metrics into LUCC modeling. Finally, we will present, discuss and apply a conservation spatial prioritization model, Zonation (https://research.csc.fi/-/zonation), and explore the possibilities for the integration of prioritization with LUCC scenario modeling. Participants will have the opportunity to explore and apply data for study cases in Nigeria (e.g. slum dynamics in Nigeria) and the Brazilian Amazon (i.e. focus on the modeling of deforestation and forest regrowth processes). |
