Process Dynamics, Temporal Extent, and Causal Propagation as the Basis for Linking Space and Time

John A. Kelmelis

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Geographic Information Systems Studies 3D Modeling in Geospatial Applications Spatial and Panel Data Analysis

Abstract

Abstract Users of geographic information systems (GISs) have become more sophisticated and are placing greater demands on GISs to understand dynamic geo graphic phenomena. Therefore, it is increasingly important to incorporate the variables necessary to model processes into geographic data and information. In addition, GIS analytical capabilities must be strengthened to facilitate the re quirements of process modeling. The operations and functions of the system must be sufficiently robust to analyze dynamic phenomena. There must be operations and functions that are effective in spatial and temporal dimensions.

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