Continuous surface representation and approximation: spatial analytical implications

Yao, J. and Murray, A. T. (2013) Continuous surface representation and approximation: spatial analytical implications. International Journal of Geographical Information Science, 27(5), pp. 883-897. (doi:10.1080/13658816.2012.725475)

Yao, J. and Murray, A. T. (2013) Continuous surface representation and approximation: spatial analytical implications. International Journal of Geographical Information Science, 27(5), pp. 883-897. (doi:10.1080/13658816.2012.725475)

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Abstract

Field-based continuous representation in a geographical information system (GIS) has long been important for describing complex spatially distributed phenomena, such as population, precipitation, air pollution, temperature elevation and land cover. Though theoretical knowledge and properties of continuous distributions can be employed, such surfaces are generally approximated or abstracted in practice due to a lack of complete information. That is, such surfaces are based on finite spatial samples, which is a practical necessity with regard to the infinite underlying attribute variability. These approximated surfaces are then used in various spatial analyses, yet impacts are not well understood. This article will examine theoretical properties and errors that result in practice when approximated continuous surfaces are relied on in spatial analysis.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yao, Dr Jing
Authors: Yao, J., and Murray, A. T.
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
College/School:College of Social Sciences > School of Social and Political Sciences > Urban Studies
Journal Name:International Journal of Geographical Information Science
Publisher:Taylor & Francis Ltd.
ISSN:1365-8816
ISSN (Online):1362-3087

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