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GeoStat-Framework/GSTools: v1.5.1 'Nifty Neon'

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Jun 2023 English Publisher:Zenodo
Authors: Sebastian Müller; Lennart Schüler;
Code repository: https://github.com/GeoStat-Framework/GSTools/tree/v1.5.1

doi: 10.5281/zenodo.2541721 , 10.5281/zenodo.13164912 , 10.5281/zenodo.8044720

GeoStat-Framework/GSTools: v1.5.1 'Nifty Neon'

Abstract

Release Notes This release brings better support for spatio-temporal models as well as some updates for models on geographic coordinates. 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.readthedocs.io/ What's new? Enhancements see #317 - added wheels for Python 3.12- dropped support for Python 3.7 (EOL)- linted Cython files with cython-lint- use Cython 3 to build extensions

Related Organizations
Keywords

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

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selected citations
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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).
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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.
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