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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 and 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. Despite the advantages of VGI, there are a lot of doubts about its quality. This article examines the early literature on this phenomenon and illustrating the current methods for quality assessment and assurance of VGI. Almost all the existing researches are based on comparing the VGI data with the accurate official data. However in many cases there is no access to correct data, so looking for an alternative way to determine the quality of VGI data is essential. In this article a method for positional accuracy assessment of VGI is suggested based on comparing the existing data of the same place with each other according to the metadata that their creators have obtained. The proposed method was implemented for the different maps that were produced by various methods from our case study.
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Stored only when both papers are in the corpus — 18 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.