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Revarie: A Variogram Calculation Tool

dc.contributor.authorPrice, Dean
dc.contributor.authorRadaideh, Majdi
dc.contributor.authorKochunas, Brendan
dc.date.accessioned2020-11-11T17:09:02Z
dc.date.available2020-11-11T17:09:02Z
dc.date.issued2020-11-10
dc.identifier.urihttps://hdl.handle.net/2027.42/163510
dc.descriptionPresented at the 2020 University of Michigan Data Science Symposiumen_US
dc.description.abstractRevarie (https://github.com/deanrp2/revarie) is a variographical toolset packaged as a Python library which is targeted towards computational physics applications. A variogram is a measure of random field dissimilarity across scales, it is often used in the field of geostatistics. As such, many of the programmatic tools to calculate variograms are oriented around the field of geostatistics, and furthermore, typically not able to perform the large-scale calculations needed for more diverse applications. To address this issue, Revarie was designed specifically for large-scale applications when the computational cost of variogram calculation is an immediate concern. Moreover, Revarie provides tools such as variogram model fitting and random field generation.en_US
dc.description.sponsorshipThis material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE1256260en_US
dc.language.isoen_USen_US
dc.subjectgeostatisticsen_US
dc.subjectvariogramen_US
dc.subjectRevarieen_US
dc.titleRevarie: A Variogram Calculation Toolen_US
dc.typePosteren_US
dc.subject.hlbsecondlevelNuclear Engineering and Radiological Sciences
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumDepartment of Nuclear Engineering and Radiological Sciencesen_US
dc.contributor.affiliationotherMassachusetts Institute of Technologyen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163510/1/MIDAS_2020_poster.pdfen_US
dc.identifier.orcid0000-0002-2743-0567en_US
dc.identifier.orcid0000-0001-7109-9368en_US
dc.identifier.orcid0000-0003-0999-0111en_US
dc.description.filedescriptionDescription of MIDAS_2020_poster.pdf : Poster
dc.description.depositorSELFen_US
dc.identifier.name-orcidRadaideh, Majdi I; 0000-0002-2743-0567en_US
dc.identifier.name-orcidKochunas, Brendan; 0000-0001-7109-9368en_US
dc.identifier.name-orcidPrice, Dean; 0000-0003-0999-0111en_US
dc.owningcollnameNuclear Engineering and Radiological Sciences, Department of (NERS)


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