Spatio-Temporal Data Models
New data acquisition technologies including sensor systems are generating information with much higher spatial and temporal resolutions. Such data opens great potential but also new challenges for representing dynamic aspects of phenomena and drives the need for new models that support combined spatial and temporal dimensions. NCGIA investigates conceptual and logical models for spatio-temporal processes, development of event models, and models of change (e.g topological change models). Such models have application for modeling many dynamic processes including oceanographic events, emergency response situations, health and epidemiological events, and climate change.