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A multigrid method for the estimation of geometric anisotropy in environmental data from sensor networks

Chorti Arsenia, Christopoulos Dionysios, Spiliopoulos I., Petrakis Emmanouil

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/6357E5E4-41D6-4982-B5F6-532059FEAC6C-
Αναγνωριστικόhttps://doi.org/10.1016/j.cageo.2010.06.007-
Αναγνωριστικόhttps://dl.acm.org/citation.cfm?id=1954168-
Γλώσσαen-
Μέγεθος11 pagesen
ΤίτλοςA multigrid method for the estimation of geometric anisotropy in environmental data from sensor networksen
ΔημιουργόςChorti Arseniaen
ΔημιουργόςChristopoulos Dionysiosen
ΔημιουργόςΧριστοπουλος Διονυσιοςel
ΔημιουργόςSpiliopoulos I.en
ΔημιουργόςPetrakis Emmanouilen
ΔημιουργόςΠετρακης Εμμανουηλel
ΕκδότηςAssociation for Computing Machineryen
ΠερίληψηThis paper addresses the estimation of geometric anisotropy parameters from scattered spatial data that are obtained from environmental surveillance networks. Estimates of geometric anisotropy improve the accuracy of spatial interpolation procedures that aim to generate smooth maps for visualization of the data and for decision making purposes. The anisotropy parameters involve the orientation angle of the principal anisotropy axes and the anisotropy ratio (i.e., the ratio of the principal correlation lengths). The approach that we employ is based on the covariance Hessian identity (CHI) method, which links the mean gradient tensor with the Hessian matrix of the covariance function. We extend CHI to clustered CHI for application in data sets that include patches of extreme values and clusters of varying sampling density. We investigate the impact of CHI anisotropy estimation on the performance of spatial interpolation by ordinary kriging using a data set that involves both real background radioactivity measurements and a simulated release of a radioactive plume.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-09-26-
Ημερομηνία Δημοσίευσης2011-
Θεματική ΚατηγορίαGeometric anisotropyen
Βιβλιογραφική ΑναφοράI. Spiliopoulos, D. T. Hristopulos, E. Petrakis, A. Chorti, " A multigrid method for the estimation of geometric anisotropy in environmental data from sensor networks, Comp. Geosci., vol. 37, no. 3, pp. 320-330, Mar. 2011. doi: 10.1016/j.cageo.2010.06.007en

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