المستخلص: |
Activities in mapping sciences are experiencing vast improvements on almost a daily basis. Today, spatial information is playing important roles in decision-making. In this respect, GIS is a strongly recognized technique, which hosts all traditional mapping information, and improves spatial information effects through strong heterogeneous databases. Accordingly, traditional quality control processes, used to assess spatial mapping data, cannot handle all quality aspects of spatial information hosted in a Geographical Information System (GIS). This means that the traditional standards for positional accuracy, lineage, logical consistency and completeness constitute only partial measures for assessing GIS contents in a fully integrated spatial system. This paper presents a quantitative mathematical model and strategy to facilitate the quality control (Q.C.) process of a GIS. The model (called the DEMAIS Model) treats geometric and descriptive data of a GIS in precise and global modes. The model has been developed based on least-squares theories and concepts. It was tested and found to be successful. In a research to be published soon, automation facilities that are under development for the model will be presented.
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