Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/13067
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | García Soidán, Pilar | - |
dc.contributor.author | Menezes, Raquel | - |
dc.contributor.author | Rubinos-Lopez, Oscar | - |
dc.date.accessioned | 2011-07-26T16:31:21Z | - |
dc.date.available | 2011-07-26T16:31:21Z | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1866-6280 | por |
dc.identifier.issn | 1866-6299 | por |
dc.identifier.uri | https://hdl.handle.net/1822/13067 | - |
dc.description.abstract | The use of kriging for construction of prediction or risk maps requires estimating the dependence structure of the random process, which can be addressed through the approximation of the covariance function. The nonparametric estimators used for the latter aim are not necessarily valid to solve the kriging system, since the positive-definiteness condition of the covariance estimator typically fails. The usage of a parametric covariance instead may be attractive at first because of its simplicity, although it may be affected by misspecification. An alternative is suggested in this paper to obtain a valid covariance from a nonparametric estimator through the Fourier series tool, which involves two issues: estimation of the Fourier coefficients and selection of the truncation point to determine the number of terms in the Fourier expansion. Numerical studies for simulated data have been conducted to illustrate the performance of this approach. In addition, an application to a real environmental data set is included, related to the presence of nitrate in groundwater in Beja district (Portugal), so that pollution maps of the region are generated by solving the kriging equations with the use of the Fourier series estimates of the covariance. | por |
dc.description.sponsorship | Universidade do Minho. Centro de Investigação de Matemática (CMAT) | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (FCT) | por |
dc.language.iso | eng | por |
dc.publisher | Springer | por |
dc.rights | restrictedAccess | por |
dc.subject | Covariance function | por |
dc.subject | Fourier series | por |
dc.subject | Kriging | por |
dc.subject | Truncation point | por |
dc.title | An approach for valid covariance estimation via the Fourier series | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | in publication | por |
oaire.citationStartPage | 615 | por |
oaire.citationEndPage | 624 | por |
oaire.citationIssue | 2 | por |
oaire.citationTitle | Environmental Earth Sciences Journal | por |
oaire.citationVolume | 66 | por |
dc.identifier.doi | 10.1007/s12665-011-1269-4 | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Environmental Earth Sciences Journal | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
valid_covar_env_earth_sci_2.pdf Acesso restrito! | documento principal | 1,8 MB | Adobe PDF | Ver/Abrir |