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Crowdsourcing geographic knowledge: volunteered geographic information (VGI) in theory and practice

International Journal of Geographical Information Science, 2014
Crowdsourcing has become a popular silver bullet for groups with limited staff and overwhelming problems. But, warn others, there are two sides to that coin.
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Worn Tissue Renovation Planning Using Volunteered Geographic Information (VGI)

,17(65 ...
Mousavi, Seyed Mohamad Ebrahim   +1 more
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Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic Web

2015
With the development of the Internet, especially Web 2.0, user-generated contents such as “Volunteered Geographic Information (VGI)” have gained attention and generated a lot of information over the Web. This chapter introduces the basic information about VGI and presents that VGI (or crowd-sourcing) applications have proven useful for gathering and ...
Chuanrong Zhang, Tian Zhao, Weidong Li
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Visitor monitoring in protected areas: an approach to Natura 2000 sites using Volunteered Geographic Information (VGI)

Geografisk Tidsskrift-Danish Journal of Geography, 2019
This paper analyses visitor monitoring and the public use of protected areas using volunteered geographic information (VGI) as a source of big data and, as the object of study, the Ebro Delta Natur...
Joan Jurado Rota   +2 more
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Evaluating Internet-based public participation GIS (PPGIS) and volunteered geographic information (VGI) in environmental planning and management

Journal of Environmental Planning and Management, 2015
An Internet-based public participation geographic information system (PPGIS) is an affordable and accessible tool for citizens to provide location-based volunteered geographic information (VGI) in environmental planning and management. Based on a conceptual model, this study uses the SWOT (strengths, weaknesses, opportunities, threats) analysis ...
Zhenghong Tang, Tiantian Liu
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Volunteered geographic information (VGI) for disaster management : a case study for floods in Jakarta.

2017
Existing studies reveal that Geographic Information Systems (GIS) can be used to enhance disaster management for reducing disaster risks. However, geospatial information acquisition is a key challenge when using GIS for disaster management, particularly in developing countries.
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A Volunteered Geographic Information (VGI) Framework for Disaster Management Based on Mobile Services and SDI

2018
With the advent of communication technology and location enabled handheld devices, the citizens, regardless of their knowledge or expertise, may help in generating spatial information. This phenomenon is known as volunteered geographic information (VGI).
A. Dasgupta, S. K. Ghosh
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The role of Volunteered Geographic Information (VGI) and Social Media Geographic Information (SMGI) in Spatial Planning

2014
Our contribution concerns the use of Social Media Geographic Information (SMGI) as an emergent pluralist source of information which may find valuable application in spatial planning and Geodesign. On the base of empirical research, the authors propose a tentative framework for SMGI Analytics in spatial planning.
CAMPAGNA, MICHELE   +4 more
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Application of Citizen Science and Volunteered Geographic Information (VGI): Tourism Development for Rural Communities

2018
Owing to the rapid development of geospatial and mobile communication technologies in recent years, acquisition of high-quality spatial and temporal information has become much more efficient and cost effective than before. As a result, many researchers deem that data collected by volunteers with little training can be used for scientific researches if
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A Comparison of Volunteered Geographic Information (VGI) Collected in Rural Areas to VGI Collected in Urban and Suburban Areas of the United States

2017
Volunteered Geographic Information (VGI) is being collected worldwide and may be a source for authoritative data providers such as national mapping organizations. In order to evaluate the usability of these data as part of an authoritative dataset, it is first necessary to understand the quality and reliability of the data.
Kari J. Craun, Ming Chih-Hung
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