Can Volunteered Geographic Information Be a Participant in eEnvironment and SDI?

Mooney, Peter; Corcoran, Padraig

doi:10.1007/978-3-642-22285-6_13

Cited by 16 publications

(13 citation statements)

References 14 publications

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“…Discussions surrounding the implications of VGI are already in progress, with a growing body of literature related to credibility [3], uncertainty [57], privacy [58], the data-divide [52], and contributor motivations [17]. In response to the critical appraisal of the inherent issues that come with an evolving system, Mooney and Corcoran [59] counter that the risk of obtaining a fragmented dataset is trumped by the collaboration it can generate.…”

Section: Critical Assessment Of Collaboration and Participation Withimentioning

confidence: 99%

A Systems Perspective on Volunteered Geographic Information

Fast

Rinner

2014

IJGI

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Volunteered geographic information (VGI) is geographic information collected by way of crowdsourcing. However, the distinction between VGI as an information product and the processes that create VGI is blurred. Clearly, the environment that influences the creation of VGI is different than the information product itself, yet most literature treats them as one and the same. Thus, this research is motivated by the need to formalize and standardize the systems that support the creation of VGI. To this end, we propose a conceptual framework for VGI systems, the main components of which-project, participants, and technical infrastructure-form an environment conducive to the creation of VGI. Drawing on examples from OpenStreetMap, Ushahidi, and RinkWatch, we illustrate the pragmatic relevance of these components. Applying a system perspective to VGI allows us to better understand the components and functionality needed to effectively create VGI.

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Section: Critical Assessment Of Collaboration and Participation Withimentioning

confidence: 99%

A Systems Perspective on Volunteered Geographic Information

Fast

Rinner

2014

IJGI

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“…Flanagin and Metzger, 2008;Haklay, 2010;Foody et al, 2013;Antoniou and Skopeliti, 2015), or how VGI has been used in different contexts (e.g. Zook et al, 2010;Barrington et al, 2011;Mooney and Corcoran, 2011;Connors et al, 2012). Yet it is the volunteer that is actually at the heart of VGI and the reason why there are many successful examples of it (See et al, 2016; Chapter 2 by See et al, 2017), one in particular being OpenStreetMap (OSM).…”

Section: Introductionmentioning

confidence: 99%

Motivating and Sustaining Participation in VGI

Fritz¹,

See²,

Brovelli³

2017

Mapping and the Citizen Sensor

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Volunteers are the key component in the collection of Volunteered Geographic Information (VGI), so what motivates their participation, what strategies work in recruitment and how sustainability of participation can be achieved are key questions that need to be answered to inform VGI system design and implementation. This chapter reviews studies that have examined these questions and presents the main motivational factors that drive volunteer participation, as determined from empirical research. Some best practices from broader citizen science applications are also presented that may have relevance for VGI initiatives. Finally, a set of case studies from our experiences are used to illustrate how volunteers have been motivated to collect VGI through mapping parties, gamification and working with schools.

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“…With the expansion of crowdsourcing, participants have developed a tremendous amount of free geographic data that have been utilized in various applications. For example, VGI acts as a potential data source for applications of environmental mapping [2,3], crisis management [4,5], urban planning [6,7], map provision [8], and location-based services (LBS) [7,9]. However, in each application, the data quality is an issue of high concern.…”

Section: Introductionmentioning

confidence: 99%

Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap

Ali

Sirilertworakul

Zipf

et al. 2016

IJGI

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Abstract:The increased development of Volunteered Geographic Information (VGI) and its potential role in GIScience studies raises questions about the resulting data quality. Several studies address VGI quality from various perspectives like completeness, positional accuracy, consistency, etc. They mostly have consensus on the heterogeneity of data quality. The problem may be due to the lack of standard procedures for data collection and absence of quality control feedback for voluntary participants. In our research, we are concerned with data quality from the classification perspective. Particularly in VGI-mapping projects, the limited expertise of participants and the non-strict definition of geographic features lead to conceptual overlapping classes, where an entity could plausibly belong to multiple classes, e.g., lake or pond, park or garden, marsh or swamp, etc. Usually, quantitative and/or qualitative characteristics exist that distinguish between classes. Nevertheless, these characteristics might not be recognizable for non-expert participants. In previous work, we developed the rule-guided classification approach that guides participants to the most appropriate classes. As exemplification, we tackle the conceptual overlapping of some grass-related classes. For a given data set, our approach presents the most highly recommended classes for each entity. In this paper, we present the validation of our approach. We implement a web-based application called Grass&Green that presents recommendations for crowdsourcing validation. The findings show the applicability of the proposed approach. In four months, the application attracted 212 participants from more than 35 countries who checked 2,865 entities. The results indicate that 89% of the contributions fully/partially agree with our recommendations. We then carried out a detailed analysis that demonstrates the potential of this enhanced data classification. This research encourages the development of customized applications that target a particular geographic feature.

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Can Volunteered Geographic Information Be a Participant in eEnvironment and SDI?

Cited by 16 publications

References 14 publications

A Systems Perspective on Volunteered Geographic Information

A Systems Perspective on Volunteered Geographic Information

Motivating and Sustaining Participation in VGI

Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap

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