Uncertainty of Spatial Information and Spatial Analysis

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

“…In the past years the perception of some issues of SDQ&U has changed, which was described exhaustively by Devillers et al [18] and Lowel [47]. The trends noticed by GIS researchers [5,6,18,23,47,48] have also been revealed in this study. They could be summarized as paradigm shift from location uncertainties of geographical features and phenomena, through fitness for use data evaluation, to uncertainty in decision making.…”

“…The broader summary of SDQ&U research was discussed by Devillers et al [18], who focused particularly on the main achievements, failures, and opportunities for future research. More recent studies, from 2000 to 2014, regarding the uncertainty of spatial information, were presented by Tong et al [6]. However, the purpose and scope, expressed by the research query, as well as the period covered by in their research are clearly different from those presented in this paper.…”

“…Similar tendencies were ob- served by [35][36][37] while analysing the global scientific production in the fields of remote sensing or GIS. They have been highlighted, although not very clearly, by Tong et al [6].…”

“…Issues of quality and uncertainty of spatial data have become even more important because data imperfections propagated through spatial analysis affect the decision-making process. Recently, researchers have focused their scientific attention on uncertainty modelling and the final impact of data imperfection on the spatiotemporal analysis [6]. Moreover, since 2004 data delivered by volunteers (crowdsourcing data) have become the subject of extensive research.…”

“…Great interest in data quality and uncertainty is also visible in the International Society of Photogrammetry and Remote Sensing (ISPRS) program, where several Commissions deal with this issue, including problems related to quality and uncertainty modelling as well as the semantic modelling and linking of ontologies. ISPRS-WII/4 working group has recently introduced the new term 'trust in spatial data' [6], which refers to the level of matching realworld phenomena with their abstraction in a database. Data quality and data usability are a priority in the Association of Geographic Information Laboratories in Europe (AGILE) scientific programme [22] with the number of papers on spatial data quality growing consistently [23].…”