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ZENODO
Software . 2019
License: https://www.gnu.org/licenses/lgpl-3.0-standalone.html
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
Claim

GSTools: Reverberating Red

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 08 Nov 2019 English Publisher:Zenodo
Authors: Sebastian Müller; Lennart Schüler;
Code repository: https://github.com/GeoStat-Framework/GSTools/tree/v1.1.1

doi: 10.5281/zenodo.3532946

GSTools: Reverberating Red

Abstract

Release Notes Bugfix release Installation You can install GSTools with: pip install -U gstools For parallel compilation try (install the standard version of gstools first, to get all dependencies): pip install --global-option="--openmp" -U gstools What's new? Enhancements added a changelog. See: fbea883 Changes deprecation warnings are now printed if Python versions 2.7 or 3.4 are used #40 #41 Bugfixes define spectral_density instead of spectrum in covariance models since Cov-base derives spectrum. See: 00f2747 better boundaries for CovModel parameters. See: #37

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).
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!
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