07-14, 09:00–13:00 (Europe/Sarajevo), PL14
MOLUSCE (Modules for Land Use Change Simulations) is an open-source land cover change analysis module for QGIS, developed by NextGIS with support from Asia Air Survey. Initially presented at FOSS4G 2013 in Nottingham, MOLUSCE has resumed active development after a long period of inactivity. The module now supports the latest QGIS versions and introduces powerful new mechanics. The latest enhancement allows users to apply different versions of environmental factors for historical and prediction periods, expanding its application for climate change-related land cover dynamics analysis.
In this workshop, we will conduct and discuss the complete updated MOLUSCE workflow, including data preparation, simulation processes, and validation, with a focus on the new mechanics that account for the dynamics of environmental factors.
Preparation will include hypothesis formulation, focusing on which factors affect land cover dynamics, and adjusting vector layers such as road network and populated places, as well as raster layers like elevation and climate data, from different sources using built-in QGIS tools. During the simulation, we will take a detailed look at the available models and their settings.
Participants are only required to have the latest stable version of QGIS installed on their laptops.
- Preparing the data for MOLUSCE workflow
- Simulation models overview and selection
- Model configuring
- Validation
- Tricks and Tips for working with MOLUSCE and its derivatives
beginner
Pre-requirements for attendees –Latest stable version of QGIS (https://qgis.org)
Coding knowledge required? –No
Link to software source code repository –Geospatial expert with scientific and industrial experience and a passion for open-source GIS. An active member of the QGIS community, serving as a translations coordinator, plugins developer, and event organizer. Currently contributing to building the geospatial stack at NextGIS OÜ and leading the office in Serbia. My favorite aspect of GIS work is geographic modeling and addressing environmental challenges.