Publication:
A comparison of spatial interpolation methods for surface temperature in Thailand

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dc.contributor.authorPanudda Tiengroden_US
dc.contributor.authorWaranyu Wongsereeen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-10-19T04:50:26Z
dc.date.available2018-10-19T04:50:26Z
dc.date.issued2013-12-01en_US
dc.description.abstractThis paper aims to compare performance of two type of spatial interpolation methods for the estimation of surface temperature. Eleventh years of monthly mean surface temperature data at 120 stations located in Thailand have been used for this study. Inverse distance weighting (IDW) and ordinary kriging (OK) were used to interpolate surface temperature. Leave-one-out cross-validation (LOOCV) had been use to analyze the spatial error of interpolated data. The result of a Wilcoxon signed rank test indicated that the performance of ordinary kriging was significantly better (p value = 0.002) than the inverse distance weighting. The summary statistics show interpolation errors of the kriging for monthly mean surface temperature varying within 0.68-0.84. © 2013 IEEE.en_US
dc.identifier.citation2013 International Computer Science and Engineering Conference, ICSEC 2013. (2013), 174-178en_US
dc.identifier.doi10.1109/ICSEC.2013.6694774en_US
dc.identifier.other2-s2.0-84893520410en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/31588
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893520410&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleA comparison of spatial interpolation methods for surface temperature in Thailanden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893520410&origin=inwarden_US

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