Spatial interpolation using fuzzy reasoning
Date
2003
Authors
Gedeon, Tamas (Tom)
Wong, Kok Wai
Wong, Patrick M
Huang, Yuantu
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Blackwell Publishing Ltd
Abstract
Spatial interpolation is an important feature of a Geographic Information System, which is the procedure used to estimate values at unknown locations within the area covered by existing observations. In this paper, we describe a conservative spatial interpolation technique that incorporates the advantages of local interpolation, Euclidean interpolation, and conservative fuzzy reasoning, and a dynamic fuzzy-reasoning-based function estimator with parameters optimised by a genetic algorithm. The main objective of this paper is to formulate a computationally efficient spatial interpolation technique similar to the IDWA technique that can be used in real time application. The main feature of our spatial interpolation technique is a capability for spatial interpolation and extrapolation in a higher-dimensional space. Examples from a rainfall spatial interpolation problem are used to illustrate the applicability of the proposed technique.
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Keywords: data interpretation; fuzzy mathematics; GIS; interpolation; spatial data; visualization
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Transactions in G I S
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Journal article
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2037-12-31
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