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Spatial interpolation using fuzzy reasoning

Gedeon, Tamas (Tom); Wong, Kok Wai; Wong, Patrick M; Huang, Yuantu

Description

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...[Show more]

dc.contributor.authorGedeon, Tamas (Tom)
dc.contributor.authorWong, Kok Wai
dc.contributor.authorWong, Patrick M
dc.contributor.authorHuang, Yuantu
dc.date.accessioned2015-12-08T22:23:49Z
dc.identifier.issn1361-1682
dc.identifier.urihttp://hdl.handle.net/1885/33032
dc.description.abstractSpatial 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.
dc.publisherBlackwell Publishing Ltd
dc.sourceTransactions in G I S
dc.subjectKeywords: data interpretation; fuzzy mathematics; GIS; interpolation; spatial data; visualization
dc.titleSpatial interpolation using fuzzy reasoning
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume7
dc.date.issued2003
local.identifier.absfor080108 - Neural, Evolutionary and Fuzzy Computation
local.identifier.ariespublicationU3594520xPUB98
local.type.statusPublished Version
local.contributor.affiliationGedeon, Tamas (Tom), College of Engineering and Computer Science, ANU
local.contributor.affiliationWong, Kok Wai, Murdoch University
local.contributor.affiliationWong, Patrick M, University of New South Wales
local.contributor.affiliationHuang, Yuantu, University of New South Wales
local.description.embargo2037-12-31
local.bibliographicCitation.issue1
local.bibliographicCitation.startpage55
local.bibliographicCitation.lastpage66
dc.date.updated2015-12-08T08:55:22Z
local.identifier.scopusID2-s2.0-0037285228
CollectionsANU Research Publications

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