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Highlighting Current Trends in Volunteered Geographic Information

descriptionPublicationkeyboard_double_arrow_right Article 04 Jul 2017Embargo end date: 01 Jul 2017 Austria, Switzerland English Publisher:MDPI AGJournal:ISPRS International Journal of Geo-Information, volume 6, page 202 (eissn: 2220-9964, Copyright policy )Funded by:EC | LANDSENSE, EC | CROWDLAND
Authors: David Jonietz; Vyron Antoniou; Linda See; Alexander Zipf;

doi: 10.3390/ijgi6070202 , 10.3929/ethz-b-000201481

handle: 20.500.11850/201827

Highlighting Current Trends in Volunteered Geographic Information

Abstract

Volunteered Geographic Information (VGI) is a growing area of research. This Special Issue aims to capture the main trends in VGI research based on 16 original papers, and distinguishes between two main areas, i.e., those that deal with the characteristics of VGI and those focused on applications of VGI. The topic of quality assessment and assurance dominates the papers on VGI characteristics, whereas application-oriented work covers three main domains: human behavioral analysis, natural disasters, and land cover/land use mapping. In this Special Issue, therefore, both the challenges and the potentials of VGI are addressed.

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Keywords

Geography (General), OpenStreetMap, Quality, 004, Crowdsourcing; OpenStreetMap; Quality; volunteered geographic information, quality, volunteered geographic information, G1-922, Crowdsourcing, crowdsourcing

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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!
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