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dc.contributor.authorBullejos, Manuel
dc.contributor.authorCabezas, David
dc.contributor.authorMartín-Martín, Manuel
dc.contributor.authorAlcalá, Francisco Javier
dc.date.accessioned2024-04-20T07:17:26Z
dc.date.available2024-04-20T07:17:26Z
dc.date.issued2022
dc.identifier10.3390/jmse10070986
dc.identifier.issn20771312
dc.identifier.urihttps://hdl.handle.net/20.500.12728/11253
dc.description.abstractThe k-nearest neighbors (KNN) algorithm is a non-parametric supervised machine learning classifier; which uses proximity and similarity to make classifications or predictions about the grouping of an individual data point. This ability makes the KNN algorithm ideal for classifying datasets of geological variables and parameters prior to 3D visualization. This paper introduces a machine learning KNN algorithm and Python libraries for visualizing the 3D stratigraphic architecture of sedimentary porous media in the Quaternary onshore Llobregat River Delta (LRD) in northeastern Spain. A first HTML model showed a consecutive 5 m-equispaced set of horizontal sections of the granulometry classes created with the KNN algorithm from 0 to 120 m below sea level in the onshore LRD. A second HTML model showed the 3D mapping of the main Quaternary gravel and coarse sand sedimentary bodies (lithosomes) and the basement (Pliocene and older rocks) top surface created with Python libraries. These results reproduce well the complex sedimentary structure of the LRD reported in recent scientific publications and proves the suitability of the KNN algorithm and Python libraries for visualizing the 3D stratigraphic structure of sedimentary porous media, which is a crucial stage in making decisions in different environmental and economic geology disciplines. © 2022 by the authors.es_ES
dc.description.sponsorshipCTMA-IGA, (FQM-343, RNM-188); Research Groups and Projects of the Generalitat Valenciana; Universidad de Alicante; Ministerio de Ciencia e Innovación, MICINN; Junta de Andalucíaes_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.subject3D stratigraphic architecturees_ES
dc.subjectgranulometryes_ES
dc.subjectKNN algorithmes_ES
dc.subjectLlobregat River Deltaes_ES
dc.subjectPython librarieses_ES
dc.titleA K-Nearest Neighbors Algorithm in Python for Visualizing the 3D Stratigraphic Architecture of the Llobregat River Delta in NE Spaines_ES
dc.typeArticlees_ES


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