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Author
Benjamin Herfort
;
Melanie Eckle
;
João Porto de Albuquerque
Title
Being Specific about Geographic Information Crowdsourcing: A Typology and Analysis of the Missing Maps Project in South Kivu
Type
Conference Article
Year
2016
Publication
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2016
Volume
Issue
Pages
Keywords
Crowdsourcing
;
Classification
;
Digitization
;
Conflation
;
OpenStreetMap
Abstract
Recent development in disaster management and humanitarian aid is shaped by the rise of new information sources such as social media or volunteered geographic information. As these show great potential, making sense out of the new geographical datasets is a field of important scientific research. Therefore, this paper attempts to develop a typology of geographical information crowdsourcing. Furthermore, we use this typology to frame existing crowdsourcing projects and to further point out the potential of different kinds of crowdsourcing for disaster management and humanitarian aid. In order to exemplify its practical usage and value, we apply the typology to analyze the crowdsourcing methods utilized by the members of the Missing Maps project developed in South Kivu.
Address
Corporate Author
Thesis
Publisher
Federal University of Rio de Janeiro
Place of Publication
Rio de Janeiro, Brasil
Editor
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3438
ISBN
978-84-608-7984-59
Medium
Track
Geospatial Data and Geographical Information Science
Expedition
Conference
13th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1378
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