International Journal of Geographical Information Systems· 2016· Review
A review of volunteered geographic information quality assessment methods
- 490citations
- 2016year
Short summary
This review classifies Volunteered Geographic Information (VGI) and surveys methods for assessing its quality, introducing data mining as a novel approach.
AI-generated from the title and abstract; the full text is not read.
Key points
- VGI quality varies due to diverse contributors, technologies, and purposes.
- Existing methods for VGI quality assessment are reviewed.
- A classification of VGI types and their quality assessment methods is presented.
- Data mining is introduced as a new approach for VGI quality handling.
AI-generated from the title and abstract; the full text is not read.
Abstract
With the ubiquity of advanced web technologies and location-sensing hand held devices, citizens regardless of their knowledge or expertise, are able to produce spatial information. This phenomenon is known as volunteered geographic information (VGI). During the past decade VGI has been used as a data source supporting a wide range of services, such as environmental monitoring, events reporting, human movement analysis, disaster management, etc. However, these volunteer-contributed data also come with varying quality. Reasons for this are: data is produced by heterogeneous contributors, using various technologies and tools, having different level of details and precision, serving heterogeneous purposes, and a lack of gatekeepers. Crowd-sourcing, social, and geographic approaches have been proposed and later followed to develop appropriate methods to assess the quality measures and indicators of VGI. In this article, we review various quality measures and indicators for selected types of VGI and existing quality assessment methods. As an outcome, the article presents a classification of VGI with current methods utilized to assess the quality of selected types of VGI. Through these findings, we introduce data mining as an additional approach for quality handling in VGI.
The authors' abstract, as published at the source. International Journal of Geographical Information Systems, 2016 · DOI ↗
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Field: Geography, Planning and Development
Geography, Planning and DevelopmentSocial Sciences