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GeoStat-Framework/GSTools-Cython: v1.2.0

Authors: Sebastian Müller; Lennart Schüler;

GeoStat-Framework/GSTools-Cython: v1.2.0

Abstract

Release Notes This package is not meant to be installed stand alone and will be installed by default when installing GSTools. Installation You can install GSTools with conda: conda install -c conda-forge gstools or with pip: pip install gstools Documentation The documentation can be found at: https://gstools-cython.readthedocs.io/ What's new? See #11 Changes add support for Python 3.14 (incl. free-threaded support) move pypy version to 3.11 add win arm64 wheels (without Python 3.10, since there are no numpy wheels prior to 3.11) remove support for Python 3.9 (EOL) fix bug in error message in variogram.pyx (undetected by cython=77 increased coverage

Keywords

GeoStat-Framework, random fields, geostatistics, kriging, variogram, covariance models, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average