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Springtime

Name: Springtime
Keywords: machine learning, phenology, geospatial

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 Apr 2023Publisher:Zenodo

Authors: Kalverla, Peter; Alidoost, Fakhereh; Verhoeven, Stefan; Khodadadzadeh, Mahdi;

doi: 10.5281/zenodo.7835299 , 10.5281/zenodo.7835300 , 10.5281/zenodo.10610958

Springtime

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Abstract

The Springtime Python package helps to streamline workflows for doing machine learning with phenological datasets.

If you use this software, please cite it using the metadata from this file.

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Keywords

machine learning, phenology, geospatial

Impact byBIP!

	citations 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).	0
	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.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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