Abstract
| Original language | English |
|---|---|
| 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 |
| Pages | 121-126 |
| 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
| Other | 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences |
|---|---|
| Country | Brazil |
| City | Florianópolis, SC |
| Period | 10/07/12 → 13/07/12 |
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Bibliographical note
The Users can download and copy the information, documents and other data for User's personal, non-commercial use, without any right to resell, redistribute or create derivative works.Keywords
- geospatial data
- quality evaluation
- geospatial data quality indicators
- geospatial data quality
Cite this
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Geospatial data quality indicators. / Lush, Victoria; Bastin, Lucy; Lumsden, Jo.
Proceedings of the 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences. ed. / Carlos Vieira; Vania Bogorny; Artur R. Aquino. 2012. p. 121-126.Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
TY - CHAP
T1 - Geospatial data quality indicators
AU - Lush, Victoria
AU - Bastin, Lucy
AU - Lumsden, Jo
N1 - The Users can download and copy the information, documents and other data for User's personal, non-commercial use, without any right to resell, redistribute or create derivative works.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - geospatial data
KW - quality evaluation
KW - geospatial data quality indicators
KW - geospatial data quality
M3 - Chapter (peer-reviewed)
SP - 121
EP - 126
BT - Proceedings of the 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences
A2 - Vieira, Carlos
A2 - Bogorny, Vania
A2 - Aquino, Artur R.
ER -