A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain)
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Otros documentos de la autoría: Meseguer Costa, Sergio; Juan, Pablo; Vicente, Ana Belen; Díaz Ávalos, Carlos
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Título
A New Bayesian Inference Methodology for Modeling Geochemical Elements in Soil with Covariates. Characterization of Lithium in South Iberian Range (Spain)Fecha de publicación
2016Editor
Global Journals Inc.Cita bibliográfica
MESEGUER 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. 39-47Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://globaljournals.org/GJCST_Volume16/6-A-New-Bayesian-Inference-Methodology.pdfPalabras clave / Materias
Resumen
When 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. ... [+]
When 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. [-]
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Global Journal of Computer Science and Technology (2016), v. 16, issue 1Derechos de acceso
info:eu-repo/semantics/openAccess
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