Software Open Access
Mirko Mälicke; Helge David Schneider
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <controlfield tag="005">20220204091721.0</controlfield> <controlfield tag="001">3531816</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Helge David Schneider</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">95961</subfield> <subfield code="z">md5:812aa5da8023e0047c2a32ee2b6d5f40</subfield> <subfield code="u">https://zenodo.org/record/3531816/files/mmaelicke/scikit-gstat-v0.2.6.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2019-11-07</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">software</subfield> <subfield code="o">oai:zenodo.org:3531816</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Karlsruhe Institute of Technology (KIT)</subfield> <subfield code="a">Mirko Mälicke</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Scikit-GStat 0.2.6: A scipy flavored geostatistical analysis toolbox written in Python.</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="a">Other (Open)</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>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.</p> <p>Note that there are no unit tests for Kriging so far, and they are not documented. Kriging got some new keywords in this version and there are some strategies to increase performance or gain better results. The main bottleneck for performance is not handled yet (on purpose). The Variogram.compiled_model function is deprecated and was replaced by the much faster Variogram.fitted_model.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">url</subfield> <subfield code="i">isSupplementTo</subfield> <subfield code="a">https://github.com/mmaelicke/scikit-gstat/tree/v0.2.6</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.1345584</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3531816</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">software</subfield> </datafield> </record>
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