The overall goal of the
Spatial Analysis and Modeling (SAM) Laboratory is to describe,
understand, model and predict
environment and human change processes together with their interactions.
This focus integrates a number of research disciplines including spatial
data analysis, GIS/GIScience, complex systems theory, remote sensing, and cartography.
The objectives include
the development of theory and implementations to model the
dynamics of land use changes, urban growth, disease propagation,
resources management, and human well-being.
Specific methods used include cellular automata, fuzzy logic and sets, exploratory spatial data analysis,
data mining, web-based GIS,
multi-criteria analysis and visualizations.