Representing geographic dynamics

A number of related yet distinct subfields of GIScience associated with representing geographic dynamics have recently emerged. Researchers in spatio-temporal theory and data modeling, spatial process modeling, complex systems, and agent-based modeling all consider dynamic (or temporal) aspects of geographic phenomena germane to their respective specialty. Given this common ground, an obvious question arises as to the degree to which these communities have shared goals that might be forwarded through collaboration. In short, where might synergies or unique insights lie, and what redundant efforts might be streamlined? This short position paper looks at two research areas (and communities) that are the focus of this workshop: agent-based modeling and spatiotemporal data modeling.