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dc.contributor.authorSusanto, Ferry
dc.contributor.authorde Souza, Paulo
dc.contributor.authorHe, Jing
dc.date.accessioned2023-06-23T06:01:22Z
dc.date.available2023-06-23T06:01:22Z
dc.date.issued2016
dc.identifier.issn1424-8220en_US
dc.identifier.doi10.3390/s16081245en_US
dc.identifier.urihttp://hdl.handle.net/10072/410914
dc.description.abstractA variation of the reduction-based approach to spatiotemporal interpolation (STI), in which time is treated independently from the spatial dimensions, is proposed in this paper. We reviewed and compared three widely-used spatial interpolation techniques: ordinary kriging, inverse distance weighting and the triangular irregular network. We also proposed a new distribution-based distance weighting (DDW) spatial interpolation method. In this study, we utilised one year of Tasmania’s South Esk Hydrology model developed by CSIRO. Root mean squared error statistical methods were performed for performance evaluations. Our results show that the proposed reduction approach is superior to the extension approach to STI. However, the proposed DDW provides little benefit compared to the conventional inverse distance weighting (IDW) method. We suggest that the improved IDW technique, with the reduction approach used for the temporal dimension, is the optimal combination for large-scale spatiotemporal interpolation within environmental modelling applications.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherMDPIen_US
dc.relation.ispartofissue8en_US
dc.relation.ispartofjournalSensorsen_US
dc.relation.ispartofvolume16en_US
dc.subject.fieldofresearchEnvironmental managementen_US
dc.subject.fieldofresearchAnalytical chemistryen_US
dc.subject.fieldofresearchEcologyen_US
dc.subject.fieldofresearchcode4104en_US
dc.subject.fieldofresearchcode3401en_US
dc.subject.fieldofresearchcode3103en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsPhysical Sciencesen_US
dc.subject.keywordsTechnologyen_US
dc.subject.keywordsChemistry, Analyticalen_US
dc.subject.keywordsEngineering, Electrical & Electronicen_US
dc.titleSpatiotemporal Interpolation for Environmental Modellingen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationSusanto, F; de Souza, P; He, J, Spatiotemporal Interpolation for Environmental Modelling, Sensors, 2016, 16 (8)en_US
dcterms.dateAccepted2016-08-02
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2021-12-16T04:07:51Z
dc.description.versionVersion of Record (VoR)en_US
gro.rights.copyright© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
gro.hasfulltextFull Text
gro.griffith.authorDe Souza Junior, Paulo A.


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