The session recording will be archived on the site until June 25th, 2023

This session was streamed but not recorded

Curated Track: 

Description:

Spatial models are imbued with uncertainty that should be explicitly addressed during model development. One way to understand how uncertainty affects model behavior and, in consequence, its results is to apply uncertainty analysis (UA) and sensitivity analysis (SA) as part of model evaluation. The purpose of such evaluation is exploring the output space to understand better which inputs are critical in driving the variability of model outcomes. In recent years, the topic of UA and SA has gained more recognition among the spatial modeling community. However, the number of studies reporting on UA and SA is still limited. The applied methods are borrowed from other disciplines, including engineering, decision science, ecosystem modeling, and hydrology. These methods were not developed to handle spatial inputs (maps). At the same time, the increased use of big data in model building reinforces the importance of comprehensive handling of model uncertainty.

The purpose of this session is to present the latest advancements in applying UA and SA in the context of spatial modeling. The topics include, but are not limited to:

[1] Position papers on the roles of uncertainty and sensitivity analysis in geographical modeling;
[2] Handling spatial inputs and big data in model evaluation;
[3] Sensitivity analysis versus model validation;
[4] Reviews of the state-of-the-art methods;
[5] Applications of uncertainty and sensitivity analysis of spatial empirical models, including, but not limited to land use and land cover change, urban systems, habitat suitability, ecosystems, sustainability, and disease spread;
[6] Methods of UA and SA explicitly developed for spatial models—agent-based models, cellular automata, multicriteria evaluation, optimization, and other modeling approaches;
[7] Sensitivity analysis and design of experiments

This paper session will take place online. If you are interested in joining this session, please email your name, organization, AAG PIN, talk title, abstract (<=250 words), and contact information to:

Arika Ligmann-Zielinska, Michigan State University, arika@msu.edu

Note that the paper abstract submission deadline is November 10. However, you can select the session for your paper after that date.

Non-Presenting Participants