A taxonomy of spatial data integrity constraints
Article
Article Title | A taxonomy of spatial data integrity constraints |
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ERA Journal ID | 2021 |
Article Category | Article |
Authors | |
Author | Cockcroft, Sophie |
Journal Title | Geoinformatica: an international journal on advances of computer science for geographic information systems |
Journal Citation | 1 (4), pp. 327-343 |
Number of Pages | 17 |
Year | 1997 |
Place of Publication | Boston, United States |
ISSN | 1384-6175 |
1573-7624 | |
Web Address (URL) | https://link.springer.com/article/10.1023/A%3A1009754327059 |
Abstract | Spatial data quality has become an issue of increasing concern to researchers and practitioners in the field of Spatial Information Systems (SIS). Clearly the results of any spatial analysis are only as good as the data on which it is based. There are a number of significant areas for data quality research in SIS. These include topological consistency; consistency between spatial and attribute data; and consistency between spatial objects’ representation and their true representation on the ground. The last category may be subdivided into spatial accuracy and attribute accuracy. One approach to improving data quality is the imposition of constraints upon data entered into the database. This paper presents a taxonomy of integrity constraints as they apply to spatial database systems. Taking a cross disciplinary approach it aims to clarify some of the terms used in the database and SIS fields for data integrity management. An overview of spatial data quality concerns is given and each type of constraint is assessed regarding its approach to addressing these concerns. Some indication of an implementation method is also given for each. |
Keywords | database constraints, spatial data quality, system development, rules |
ANZSRC Field of Research 2020 | 460903. Information modelling, management and ontologies |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Otago, New Zealand |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6qz1/a-taxonomy-of-spatial-data-integrity-constraints
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