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.
|Title of host publication||Proceedings of the 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences|
|Editors||Carlos Vieira, Vania Bogorny, Artur R. Aquino|
|Number of pages||6|
|Publication status||Published - 2012|
|Event||10th international symposium on spatial accuracy assessment in natural resources and environmental sciences - Florianópolis, SC, Brazil|
Duration: 10 Jul 2012 → 13 Jul 2012
|Other||10th international symposium on spatial accuracy assessment in natural resources and environmental sciences|
|Period||10/07/12 → 13/07/12|
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- geospatial data
- quality evaluation
- geospatial data quality indicators
- geospatial data quality