A Geometric Approach to Improve the Quality of voluntary spatial information Using Data History (Case Study: OSM Linear Data)

Abstract

OSM is one of the most desired and recognized VGI projects. All information related to OSM data such as objects' geometry, relations, and descriptive information including all previous versions is stored in the history file. Given the ease in access and the challenges in their quality debate, the issue of the quality of spatial information produced by OSM is an attractive topic for researchers. In previous researches, the use of the data history file to improve the quality of voluntary spatial information has not been considered. Hence, the goal of this research is to present a solution for improving the quality of location precision of the linear objects through the generation of new data using the data records. In this article, to achieve this goal, a geometric approach is presented based on the Voronoi diagram and object matching methods. To evaluate the effectiveness of the proposed method, the District 6 of Tehran was selected as the study area. In order to estimate the quality, the quality of extracted dataset was compared to Dataset produced by the municipality of Tehran as a reference dataset. According to the results obtained from this comparison, it was found that the completeness and positional accuracy of OSM features is improved by about 9.03% and 8.88%, respectively.