3531816
doi
10.5281/zenodo.3531816
oai:zenodo.org:3531816
Helge David Schneider
Scikit-GStat 0.2.6: A scipy flavored geostatistical analysis toolbox written in Python.
Mirko Mälicke
Karlsruhe Institute of Technology (KIT)
url:https://github.com/mmaelicke/scikit-gstat/tree/v0.2.6
info:eu-repo/semantics/openAccess
Other (Open)
<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>
Zenodo
2019-11-07
info:eu-repo/semantics/other
1345584
v0.2.6
1643966241.807165
95961
md5:812aa5da8023e0047c2a32ee2b6d5f40
https://zenodo.org/records/3531816/files/mmaelicke/scikit-gstat-v0.2.6.zip
public
https://github.com/mmaelicke/scikit-gstat/tree/v0.2.6
Is supplement to
url
10.5281/zenodo.1345584
isVersionOf
doi