The Space-Time Analysis of Complex Systems (STACS) Group at the Department of Geography, San Diego State University aims to understand complex human-environment systems in the following domains: urban geography, reciprocal human-environment relationships, health geography, human behavior and adaptation to natural disasters or hazards, and landscape ecology. Complex systems are often characterized by high dimensionality, hierarchical structure, heterogeneity, nonlinearity, feedback, path dependence, multi-finality, and so on. We tackle such complexities using theories and methods from multiple fields including geographic information science, complexity science, sociology, demography, computer science, and mathematical and statistical analysis.
We develop space-time analysis methods (e.g., indicators, algorithms, models) and seek insights (e.g., drivers and relationships) into the above systems or domains. Space-time analysis is an increasingly recognized field that focuses on not only spatial heterogeneity of many phenomena or events of interest (a strength of traditional GIS), but also on their temporal heterogeneity and potential drivers behind the related space-time patterns. Given the above complexities, what insights could we gain, and how should we approach such systems for better understandings? Our group aims to answer these questions from both theoretical and application perspectives.