Explore the models
FUTURES, or FUTure Urban-Regional Environment Simulation, is an open source urban growth model designed to address the regional-scale ecological and environmental impacts of urbanization. It is one of the few land change models developed to explicitly capture the spatial structure of development.
The LANDIS-II model simulates landscape change as a function of disturbance (e.g., fire, wind, insects), forest management, land use change, and succession. Climate change effects are integrated throughout the model. The model is highly customizable with dozens of libraries ('extensions') to choose from.
Learn more about the interdisciplinary researchers mapping our dynamic planet:Faculty at the frontier
Upcoming Trainings and Meetings
There are no upcoming trainings at this time.
Join our user/developer communities
All of the landscape forecasting models at the Center for Geospatial Analytics are open source and continue to expand and improve. We invite you engage with our user/developer communities and help us learn from each other.
The LANDIS-II community is very active with hundreds of users and developers worldwide. We welcome anyone to join the LANDIS-II community and to contribute. All model components are free and open-source. There are active bulletin boards for Users and Developers. And there are meetings and trainings held every year in various locations across the US and Canada. Please visit www.landis-ii.org for further information.
More info coming soon.
Open postdoc positions in invasive species modeling
The Pest and Pathogens group of the Landscape Dynamics Lab invites applicants for two postdoctoral research scholars talented in both spatial data science and modeling the spread of invasive species. Review of applications begins immediately. The positions start August 2019.
Extension to Landis-II published
A 2018 study by Francesco Tonini and colleagues presents the Base Epidemiological Disturbance Agent (EDA) extension, which allows users of the LANDIS‐II forest landscape simulation model to simulate forest pathogen spread and host mortality within a spatially explicit forest simulation.