October 4, 2020 Software Open Access

Mirko Mälicke; Helge David Schneider

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.4065199</identifier>
  <creators>
    <creator>
      <creatorName>Mirko Mälicke</creatorName>
      <affiliation>Karlsruhe Institute of Technology (KIT)</affiliation>
    </creator>
    <creator>
      <creatorName>Helge David Schneider</creatorName>
    </creator>
  </creators>
  <titles>
    <title>mmaelicke/scikit-gstat: Version 0.3</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-10-04</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4065199</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/mmaelicke/scikit-gstat/tree/v0.3.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1345584</relatedIdentifier>
  </relatedIdentifiers>
  <version>v0.3.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;SciKit-Gstat is a scipy-styled analysis module for geostatistics. It includes two base classes Variogram and OrdinaryKriging. Additionally, various variogram classes inheriting from Variogram are available for solving directional or space-time related tasks. The module makes use of a rich selection of semi-variance estimators and variogram model functions while being extensible at the same time.&lt;/p&gt;

&lt;p&gt;This version changed the &lt;code&gt;DirectionalVariogram&lt;/code&gt; class quite substantially. The circular search area was removed, therefore &lt;code&gt;shapely&lt;/code&gt; is not a dependency anymore and the variogram estimation for directional variograms got a performance gain of &lt;strong&gt;several magnitudes&lt;/strong&gt;.&lt;/p&gt;</description>
  </descriptions>
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