Journal article
Spatial interpolation using fuzzy reasoning
Transactions in GIS, Vol.7(1), pp.55-66
2003
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.
Details
- Title
- Spatial interpolation using fuzzy reasoning
- Authors/Creators
- T. Gedeon (Author/Creator)K.W. Wong (Author/Creator)P.M. Wong (Author/Creator)Y. Huang (Author/Creator)
- Publication Details
- Transactions in GIS, Vol.7(1), pp.55-66
- Publisher
- Blackwell Publishing Inc
- Identifiers
- 991005542682307891
- Copyright
- © 2003 Blackwell Publishing Ltd
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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