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Software . 2023
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Software . 2023
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Spatial-Data-Science-and-GEO-AI-Lab/GreenExp_R: Initial Release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Aug 2023Publisher:Zenodo
Authors: Martijn Koster; Labibsm;
Code repository: https://github.com/Spatial-Data-Science-and-GEO-AI-Lab/GreenExp_R/tree/0.0.2

doi: 10.5281/zenodo.8283188 , 10.5281/zenodo.8283189

Spatial-Data-Science-and-GEO-AI-Lab/GreenExp_R: Initial Release

Abstract

This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial data and models

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visibility
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
64
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