Geospatial data quality indicators


Indicators which summarise the characteristics of spatiotemporal data coverages significantly simplify quality evaluation, decision making and justification processes by providing a number of quality cues that are easy to manage and avoiding information overflow. Criteria which are commonly prioritised in evaluating spatial data quality and assessing a dataset’s fitness for use include lineage, completeness, logical consistency, positional accuracy, temporal and attribute accuracy. However, user requirements may go far beyond these broadlyaccepted spatial quality metrics, to incorporate specific and complex factors which are less easily measured. This paper discusses the results of a study of high level user requirements in geospatial data selection and data quality evaluation. It reports on the geospatial data quality indicators which were identified as user priorities, and which can potentially be standardised to enable intercomparison of datasets against user requirements. We briefly describe the implications for tools and standards to support the communication and intercomparison of data quality, and the ways in which these can contribute to the generation of a GEO label.

Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Sustainable environment research group
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Event Title: 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences
Event Type: Other
Event Dates: 2012-07-10 - 2012-07-13
Uncontrolled Keywords: geospatial data,quality evaluation,geospatial data quality indicators,geospatial data quality
Last Modified: 18 Jan 2024 08:12
Date Deposited: 10 Dec 2012 12:24
Full Text Link: http://www.spat ... ushAccuracy2012
http://spatial- ... rg/Accuracy2012
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PURE Output Type: Chapter (peer-reviewed)
Published Date: 2012
Authors: Lush, Victoria
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)
Lumsden, Jo (ORCID Profile 0000-0002-8637-7647)


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