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The Center for Geospatial Analytics develops data-driven computer simulation methods that consider dynamic interactions between both spatial and temporal dimensions of environmental change and human well-being.

Many of society’s most intractable sustainability challenges, such as urban sprawl and provision of ecosystem services, involve complex social and environmental processes that operate simultaneously in space and time across multiple scales. By considering spatial heterogeneity in land surface characteristics and changes in their state over time, spatial-temporal simulation offers a powerful approach to understand reciprocal feedbacks in human-environmental systems and to explore “what if” scenarios of management decisions and alternative futures of global environmental change.

Learn more about our Geospatial Frontiers.