A Precategorical Spatial-Data Metamodel

Steven A Roberts, G Brent Hall and Paul H Calamai
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Steven A Roberts: Department of Geography and Environmental Studies, Arts Building, Wilfrid Laurier University, Waterloo, Ontario N2L 3C5, Canada
G Brent Hall: School of Planning, Faculty of Environmental Studies, University of Waterloo, 200 University Avenue, Waterloo, Ontario N2L 3GL, Canada
Paul H Calamai: Department of Systems Design Engineering, University of Waterloo, 200 University Avenue, Waterloo, Ontario N2L 3GL, Canada

Environment and Planning B, 2006, vol. 33, issue 6, 881-901

Abstract: Increasing recognition of the extent and speed of habitat fragmentation and loss, particularly in the urban fringe, is driving the need to analyze qualitatively and quantitatively regional landscape structure for decision support in land-use planning and environmental-policy implementation. The spatial analysis required in this area is not well served by existing spatial-data models. In this paper a new theoretical spatial-data metamodel is introduced as a tool for addressing such needs and a new formalism is presented for spatial-data models on the basis of ideas from mathematical graph theory and category theory. Additionally, this formalism is used to describe a specific spatial-data model useful within the problem domain of decision support for socioecological systems. This model explicitly includes the notion of graph duality.

Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:33:y:2006:i:6:p:881-901

DOI: 10.1068/b31159

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