Abstract
Abstract. Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metadata standards does not efficiently communicate, as it may be interpreted differently by different users with different semantics. In addition, a user may not be able to decide on the relevant dataset for their in-hand application. In this paper, we propose providing VGI users with the spatial data quality parameters through simple cartographic representations, which is independent of users’ semantics. The problem is described and its implementation results for a simple case study are represented.
Highlights
The emergence of internet has developed producing and sharing of information
We propose providing Volunteered Geographic Information (VGI) users with the spatial data quality parameters through simple cartographic representations, which is independent of users’ semantics and let them decide on relevancy of datasets for their in-hand applications
While there has been exhaustive research on how to handle the users’ semantic in entering the data by users (Pazoky et al, 2014), the reverse issue has less be explored: How a non-expert user will interpret the formal metadata that expresses the spatial data quality parameters for a given dataset, and how she decides if this dataset is relevant for her in-hand application? This paper focuses on how to represent the spatial data quality to the less expert users with different semantics
Summary
The emergence of internet has developed producing and sharing of information. The information is used to be created solely by professionals, and users were just consumers and could not get involved in production and editions processes (Cooper et al, 2012). Advances in spatial data collection technologies (e.g., cell phones, digital cameras, PDAs and other hand-held devices equipped with GPS) along with online services have dramatically increased the contribution of ordinary people in producing, sharing and usage of geographic information. In the case of VGI, users are not experts and do not necessarily have enough spatial knowledge to interpret the standard metadata statements In other words, their semantics influence how they infer the quality of data from metadata: “completeness = 60%” accurately present an aspect of data quality for a given dataset, non-expert users may not be able to decide on relevancy of this dataset for their applications. The proposed approach is described and is applied to a case study
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