Abstract
Abstract. Recent advances in spatial data collection technologies and online services dramatically increase the contribution of ordinary people to produce, share, and use geographic information. Collecting spatial data as well as disseminating them on the internet by citizens has led to a huge source of spatial data termed as Volunteered Geographic Information (VGI) by Mike Goodchild. Although, VGI has produced previously unavailable data assets, and enriched existing ones. But its quality can be highly variable and challengeable. This presents several challenges to potential end users who are concerned about the validation and the quality assurance of the data which are collected. Almost, all the existing researches are based on how to find accurate VGI data from existing VGI data which consist of a) comparing the VGI data with the accurate official data, or b) in cases that there is no access to correct data; therefore, looking for an alternative way to determine the quality of VGI data is essential, and so forth. In this paper it has been attempt to develop a useful method to reach this goal. In this process, the positional accuracy of linear feature of Iran, Tehran OSM data have been analyzed.
Highlights
In the past, geographic technologies and geo-data had been a closed shop affair with near-monopolies dominating the geodomain, making it an expensive and exclusive business
We focused on Positional accuracy, and attempted to check this out while volunteered geographic information (VGI) data have been entering, or uploading by users
Since the majority of contributors to VGI are non-experts in geography or GIScience, there is no control over the production of data, and the quality of VGI data is always prone to suspicion
Summary
Geographic technologies and geo-data had been a closed shop affair with near-monopolies dominating the geodomain, making it an expensive and exclusive business. As identified by Van Oort (Van Oort , 2006), spatial data quality has been an increasing concern due to two reasons, (1) the emergence of Geographical Information Systems (GIS) in the 1960s, and (2) from the 1970s onwards, a strong increase of available spatial data from satellites. He states that the number of users from Nonspatial disciplines have grown due to the large-scale adoption of GIS.
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