الفهرس | Only 14 pages are availabe for public view |
Abstract Nowadays, Volunteered Geographic Information (VGI) is considered as a huge source of user-generated Geographic Information (GI). VGI possess significant advantages.In some contexts, VGI is found to be richer and more up-to-date than authoritative GI. Consequently, there is an enormous potential to use VGI in different mapping activities and to integrate VGI with authoritative GI. Furthermore, VGI is being studied as an alternative that can replace experts{u2019} GI.Unfortunately, VGI faces various challenges.Quality is one of the obviousVGI challenges that need to be addressed in order to get the full potential of VGI. Due to its different nature, VGI quality is inherently heterogeneous. VGI also lacks quality assurance where Volunteered Geographic Data (VGD)does not comply with standard quality assurance procedures that are applied to authoritative spatial data. Thus assuring and controlling VGI quality become increasingly important.To date, various research efforts have tackled the issue of VGI quality.However, most of the previous studies are concerned with VGI quality assessment and only provide a wide insight about how to control and assure VGI quality. Positional accuracy is one of the important aspects of VGI quality. Although VGI can reach high positional accuracy in some contexts, VGI datasets are characterized by a large spatial heterogeneity. Literature also is concerned with the assessment of VGI positional accuracy especially linear features. Limited effort is directed to control and assure VGI positional accuracy. Recent literature indicated that there is a need to propose a formal, standardized framework for VGI systems (VGI-S) that identifies the components requiredto produce complete and accurate VGI datasets and how those components interact with each other{u2019}s. |