Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/653
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dc.contributor.authorGündüz, Mesut-
dc.contributor.authorAsan, Kürşad-
dc.date.accessioned2021-12-13T10:29:46Z-
dc.date.available2021-12-13T10:29:46Z-
dc.date.issued2022-
dc.identifier.issn1865-0473-
dc.identifier.issn1865-0481-
dc.identifier.urihttps://doi.org/10.1007/s12145-021-00710-6-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/653-
dc.description.abstractStatistical evaluation of the data collected from field and laboratory is an important task in the earth sciences. The aim of a geological study is to reveal a scientific result from the earth, but the conclusions must be based on the analytical inferences, as in natural and engineering sciences. Therefore, the importance of data analysis increases depending on the improvement of technological methods in geology. The purpose of data analysis in geology is to examine the rate at which a feature changes within the population. The geological data may be lithological, textural (e.g. grain size and shape), structural (e.g. bedding, fault, foliation, jointing or lineation etc.) and chemical (e.g. major and trace elements, isotope ratios etc.) measurements of the rock, mineral, fossil, soil or water specimens. GEOstats is an excel-based data analysis program that provides graphical and numerical results, and data simulation/statistical modeling (e.g. simple regression analysis, box plot, Q-Q plot, XYZ plot, sample distribution and classification) of samples representing a population for geologists and other researchers as well. The program can perform both simple data analysis (e.g. basic statistical calculations) of numerical results and highly complex multivariate analysis such as cluster analysis, principal component analysis and common factor analysis . GEOstats is also able to carry out the error bars analysis by using relative standard deviation values for different confidence intervals.en_US
dc.description.sponsorshipCampus France; Turkey's Council of Higher EducationMinistry of National Education - Turkeyen_US
dc.description.sponsorshipThe authors thank to the editor Dr. Hassan A. Babaie and two anonymous reviewers for their critical and constructive comments that improved the quality of this paper and software. The first author also thanks to Campus France for Scholarships to Foreign Students in France and Turkey's Council of Higher Education for 100/2000 PhD Scholarship.en_US
dc.language.isoenen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.ispartofEARTH SCIENCE INFORMATICSen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeostatsen_US
dc.subjectGeology And Statisticsen_US
dc.subjectData Analysis In Geologyen_US
dc.subjectMultivariate Analysisen_US
dc.subjectDepositsen_US
dc.subjectGeochemistryen_US
dc.subjectPackageen_US
dc.subjectRocksen_US
dc.titleGEOstats: an excel-based data analysis program applying basic principles of statistics for geological studiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s12145-021-00710-6-
dc.identifier.scopus2-s2.0-85116230730en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Jeoloji Mühendisliği Bölümüen_US
dc.identifier.wosWOS:000702653400002en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57212767390-
dc.authorscopusid24337627200-
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextembargo_20300101-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.03. Department of Computer Engineering-
crisitem.author.dept02.07. Department of Geological Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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