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A Framework of Quality Assessment Methods for Crowdsourced Geographic Information: a Systematic Literature Review
Lívia Castro Degrossi
author
João Porto de Albuquerque
author
Roberto dos Santos Rocha
author
Alexander Zipf
author
2017
Iscram
Albi, France
English
Crowdsourced Geographic Information (CGI) has emerged as a potential source of geographic information in different application domains. Despite the advantages associated with it, this information lacks quality assurance, since it is provided by different people. Therefore, several authors have started investigating different methods to assess the quality of CGI. Some of the existing methods have been summarized in different classification scheme. However, there is not an overview of the methods employed to assess the quality of CGI in the absence of authoritative data. On the basis of a systematic literature review, we found 13 methods that can be employed to this end.
Volunteered Geographic Information
VGI
Crowdsourced Geographic Information
Quality Assessment
Systematic Literature Review
exported from refbase (http://idl.iscram.org/show.php?record=2041), last updated on Mon, 25 Nov 2019 14:33:39 +0100
text
http://idl.iscram.org/files/liviacastrodegrossi/2017/2041_LiviaCastroDegrossi_etal2017.pdf
LiviaCastroDegrossi_etal2017
Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management
Iscram 2017
Tina Comes
F
B
editor
14th International Conference on Information Systems for Crisis Response And Management
2017
Iscram
Albi, France
conference publication
532
545
2411-3387
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