Space-Time Modeling

This article provides an overview of the development of space–time modeling in Geographic Information Science (GIScience). Distinguished from mathematical modeling of space and time, GIScience approach addresses conceptualization, representation, and database modeling of spatiotemporal constructs to support spatiotemporal query and analysis in Geographic Information Systems (GIS). Much GIScience progress in spatiotemporal modeling parallels to the database development. However, the added complexity of geographic properties and structures present a wide range of challenges to properly and sufficiently conceptualize space and time in geographic worlds and how the conceptualization may be implemented in a GIS environment. The fundamental question of what constitutes a geographic object and how to recognize and handle the persistency of the same object is non-trivial in GIScience. The article discusses the conventional time-stamp approaches to space–time modeling of geographic information and highlights the strengths and weaknesses of time-stamped models. These time-stamped approaches employ concepts of valid time, transaction time, and user-defined time to roll-back to the previous states of a database or to support historical queries about geographic worlds. Furthermore, much research progress has been made to capture geographic events, processes, and dynamics in geographic domains. The article overviews these developments and suggests research directions of GIScience approaches in space–time modeling.

[1]  M. Yuan Representing Complex Geographic Phenomena in GIS , 2001 .

[2]  M. Kwan Gis methods in time‐geographic research: geocomputation and geovisualization of human activity patterns , 2004 .

[3]  Max J. Egenhofer,et al.  Identity-based change: a foundation for spatio-temporal knowledge representation , 2000, Int. J. Geogr. Inf. Sci..

[4]  David M. Mark,et al.  Measuring similarity between geospatial lifelines in studies of environmental health , 2005, J. Geogr. Syst..

[5]  May Yuan,et al.  Assessing Similarity of Geographic Processes and Events , 2005, Trans. GIS.

[6]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2001 .

[7]  Donna Peuquet,et al.  An Event-Based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data , 1995, Int. J. Geogr. Inf. Sci..

[8]  David M. Mark,et al.  Extensions to Geographic Representations , 2005 .

[9]  May Yuan,et al.  Use of a Three‐Domain Repesentation to Enhance GIS Support for Complex Spatiotemporal Queries , 1999, Trans. GIS.

[10]  Harvey J. Miller,et al.  Modelling accessibility using space-time prism concepts within geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[11]  James M. Blaut,et al.  SPACE AND PROCESS , 1961 .

[12]  Barry Smith,et al.  SNAP and SPAN: Towards Dynamic Spatial Ontology , 2004, Spatial Cogn. Comput..

[13]  Antony Galton,et al.  Fields and Objects in Space, Time, and Space-time , 2004, Spatial Cogn. Comput..

[14]  Michael F. Goodchild,et al.  Towards a general theory of geographic representation in GIS , 2007, Int. J. Geogr. Inf. Sci..