Spatial data quality and uncertainty publication patterns and trends by bibliometric analysis

Abstract

Using the literature review and quantitative analysis, the research on the quality and uncertainty of spatial data have been compared and analysed according to years of publication, authors, document types, WoS categories, and countries. The paper portrayed the development in the field, studied the state and evolution of the most productive and influential journals, conferences, and research institutions. The results showed that remote sensing, computer science, and geography relate mostly to data imperfection and assessment of its uncertainty. This relation is clearly translated into the most productive journals, and conferences proceedings. The top-ranked countries in this field are United States, China, and the United Kingdom.

Keywords

• data imperfection
• trust in spatial data
• bibliometry
• citation analysis
• lorentz curve
• concentration