Geostats: an Excel-Based Data Analysis Program Applying Basic Principles of Statistics for Geological Studies

dc.contributor.author Asan, Kürşad
dc.date.accessioned 2021-12-13T10:29:46Z
dc.date.available 2021-12-13T10:29:46Z
dc.date.issued 2022
dc.description.abstract Statistical 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.sponsorship Campus France; Turkey's Council of Higher EducationMinistry of National Education - Turkey en_US
dc.description.sponsorship The 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.identifier.issn 1865-0473
dc.identifier.issn 1865-0481
dc.identifier.uri https://hdl.handle.net/20.500.13091/653
dc.language.iso en en_US
dc.publisher SPRINGER HEIDELBERG en_US
dc.relation.ispartof EARTH SCIENCE INFORMATICS en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Geostats en_US
dc.subject Geology And Statistics en_US
dc.subject Data Analysis In Geology en_US
dc.subject Multivariate Analysis en_US
dc.subject Deposits en_US
dc.subject Geochemistry en_US
dc.subject Package en_US
dc.subject Rocks en_US
dc.title Geostats: an Excel-Based Data Analysis Program Applying Basic Principles of Statistics for Geological Studies en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0003-4244-1747
gdc.author.institutional Asan, Kürşad
gdc.author.scopusid 57212767390
gdc.author.scopusid 24337627200
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Jeoloji Mühendisliği Bölümü en_US
gdc.description.isFunded true
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.sjr 0.761
gdc.description.wosquality Q2
gdc.identifier.wos WOS:000702653400002
gdc.index.type WoS
gdc.index.type Scopus
gdc.scimago.openaccess false
gdc.virtual.author Asan, Kürşad
gdc.wos.citedcount 4
relation.isAuthorOfPublication.latestForDiscovery 83778a11-1974-45b0-951d-bc3959191cb6
relation.isOrgUnitOfPublication.latestForDiscovery 38239134-2638-4e9e-8ec2-877d1e166988

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Name:
s12145-021-00710-6.pdf
Size:
1.25 MB
Format:
Adobe Portable Document Format
Description:
Watermarked PDF