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GeoStat-Framework/PyKrige v1.5.1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 04 Apr 2020 English Publisher:Zenodo
Authors: Benjamin Murphy; Roman Yurchak; Sebastian Müller;

doi: 10.5281/zenodo.3991907 , 10.5281/zenodo.11360184 , 10.5281/zenodo.3738604 , 10.5281/zenodo.4661732 , 10.5281/zenodo.3739879 , 10.5281/zenodo.17372225 , 10.5281/zenodo.5380342 , 10.5281/zenodo.7008206

GeoStat-Framework/PyKrige v1.5.1

Abstract

Release Notes Installation You can install PyKrige with conda: conda install -c conda-forge pykrige or with pip: pip install pykrige Documentation The documentation can be found at: https://pykrige.readthedocs.io/ What's new? New features update Regression Kriging class to be compatible with all kriging features (#158) added option to enable/disable "exact values" to all kriging routines (#153) added option to use the pseudo-inverse in all kriging routines (#151) Changes removed compat-layer for sklearn (#157) updated examples in documentation

Related Organizations
Keywords

external drift kriging, GeoStat-Framework, regression kriging, classification kriging, kriging, geostatistics, universal kriging, variogram, ordinary kriging, 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!
views
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12
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357
7