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ZENODO
Software . 2020
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2020
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
Claim

Tracking the global reduction of marine traffic during the COVID-19 pandemic [R code]

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Jul 2020Publisher:ZenodoFunded by:EC | MOVEMED
Authors: David March;
Code repository: https://github.com/dmarch/covid19-ais/tree/v1.0.0

doi: 10.5281/zenodo.3954943

Tracking the global reduction of marine traffic during the COVID-19 pandemic [R code]

Abstract

This repository provides the R code that accompanies the preprint of the article: March D, Metcalfe K, Tintoré J, Godley BJ. Tracking the global reduction of marine traffic during the COVID-19 pandemic.

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Keywords

Big data, Spatial Analysis, Human mobility, Vessel traffic, Blue economy, Ocean Health, R, Geographic Information Systems (GIS), COVID-19, Automatic Identification System (AIS)

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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
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