Abstract
Volunteered geographic information (VGI) is a huge source of user-generated geographic information. There is an enormous potential to use VGI in different mapping activities due to its significant advantages. VGI is found to be richer and more up-to-date than authoritative geographic information. However, VGI quality is an obvious challenge that needs to be addressed in order to get the full potential of VGI. Positional accuracy is one of the important aspects of VGI quality. Although VGI positional accuracy can be high in some contexts, VGI datasets are characterized by a large spatial heterogeneity. This paper proposes an approach for controlling positional accuracy as well as decreasing the spatial heterogeneity of point features in VGI systems. A case study has been conducted in order to ensure the applicability and effectiveness of the proposed approach.
Highlights
The proliferation of GPS enabled hand-held devices, the advances of communication technology, as well as, the development of Web 2.0 and collaborative mapping applications have dramatically extended the role of Geographic Information (GI) consumers
The aim of this paper is to propose an approach that controls the positional accuracy of volunteered point features in Volunteered geographic information (VGI) systems
If the volunteered point (VP) is located in a building, it will be included in the VGI dataset only if its volunteer is located at a distance of 100 meter or less from it
Summary
The proliferation of GPS enabled hand-held devices, the advances of communication technology, as well as, the development of Web 2.0 and collaborative mapping applications have dramatically extended the role of Geographic Information (GI) consumers. VGI is being studied as an alternative to authoritative data as it has been concluded that authoritative spatial datasets are often out-ofdate, incomplete, maintained expensively and their quality is inconsistent [2]. There is an enormous potential to use VGI in different mapping activities and to integrate VGI with the authoritative datasets. There are many concerns about VGI quality that act as main barriers to integrate VGI with authoritative GI datasets [6]. One of the important aspects of VGI quality is the positional accuracy. VGI positional accuracy is characterized by a large spatial heterogeneity.
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