Mostrar el registro sencillo del ítem

dc.contributor.authorMeseguer Costa, Sergio
dc.contributor.authorJuan Verdoy, Pablo
dc.contributor.authorVicente Fortea, Ana Belén
dc.contributor.authorDíaz Ávalos, Carlos
dc.date.accessioned2017-03-15T11:14:54Z
dc.date.available2017-03-15T11:14:54Z
dc.date.issued2016
dc.identifier.citationMESEGUER COSTA, Sergio; JUAN VERDOY, Pablo; VICENTE FORTEA, Ana Belén; DÍAZ ÁVALOS, Carlos. A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain). Global Journal of Computer Science and Technology (2016), v. 16, issue 1, pp. 39-47ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/166737
dc.description.abstractWhen the scientific need to model geochemical elements in soil, is using geostatistical methodologies, for instance krigings, but we can use a new possibility with Bayesian Inference. The models for the analysis were specified by the authors and estimated using Bayesian inference for Gauss ian Markov Random Field (GMRF) through the Integrated Nested Laplace Approximation (INLA) algorithm. The results allow us to quantify and assess possible spatial relationships between the distribution of lithium and other possible explanatory elements. Are these other elements significant to the study? We believe the methods outlined here may help to find elements such as lithium, as well as contributing to the prediction and management of new extractions or prospection in a region in order to find each che mical element. The application for the modeling is to study the spatial variation in the distribution of lithium and its relationship to other geochemical elements is analyzed in terms of the different possibilities offered by geographical and environmenta l factors. All in all, Lithium presents many important and meaningful uses and applications such as: ceramics and glass, electrical and electronics standing out lithium ion batteries, as well as a lubricator for greases, in metallurgy, pyrotechnics, air pu rification, optics, organic and polymer chemistry, and medicine. This study aims to examine the distribution of lithium in sediments from the area of Beceite, in the Iberian Range and the Catalan Coastal Range (Catalànids), within the geological context of the Iberian Plate. The Atlas Geoquímico de España (IGME, 2012) was used as the main geochemical data bank in order to carry out a statistical analysis study.ca_CA
dc.format.extent11 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherGlobal Journals Inc.ca_CA
dc.relation.isPartOfGlobal Journal of Computer Science and Technology (2016), v. 16, issue 1ca_CA
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectBayesian inferenceca_CA
dc.subjectIberian rangeca_CA
dc.subjectLitiumca_CA
dc.subjectSoilca_CA
dc.titleA New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain)ca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://globaljournals.org/GJCST_Volume16/6-A-New-Bayesian-Inference-Methodology.pdfca_CA


Ficheros en el ítem

Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución-NoComercial-SinDerivadas 3.0 España
Excepto si se señala otra cosa, la licencia del ítem se describe como: Atribución-NoComercial-SinDerivadas 3.0 España

Ministerio Este proyecto ha recibido una ayuda de la Dirección General del Libro, Archivos y Bibliotecas del Ministerio de Cultura.
DSpace
Metadatos sujetos a :Public Domain | Información y consultas:biblioteca@uji.es | Centro de seguridad y privacidad | Nota legal
Universitat Jaume I - Av. de Vicent Sos Baynat, s/n 12071 Castelló de la Plana, España - Tel.: +34 964 72 87 61 Fax: +34 964 72 87 78