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Proceedings Paper

Measuring the amount of information of national topographic database based on entropy
Author(s): Hong Wang; Shanwu Su; Yuxiang Li; Ronghua Yu
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Paper Abstract

Abundant and up-to-date basic geographic information is urgently required by various users. Reasonably measuring the amount of information can provide technique foundations for describing, evaluating, and choosing products by producers, quality controllers of information and users. Entropy is a kind of information quantity evaluation based on information theory and mostly applied to measure of map information. However, measures for topographic features of information database are absented. In this paper, existing measures for map information are analyzed. An experiment is conducted by selecting several maps from national topographic database and the assessed feature is road layer. The authors completely evaluated statistical information, geometric information, topological information and thematic information entropy. Results show that entirely evaluating the amount of information for features is necessary and feasible, and it can reflect the distribution and thematic characters for features in topographic database.

Paper Details

Date Published: 14 October 2009
PDF: 6 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74921C (14 October 2009); doi: 10.1117/12.838012
Show Author Affiliations
Hong Wang, Chinese Academy of Surveying and Mapping (China)
Liaoning Technical Univ. (China)
Shanwu Su, Chinese Academy of Surveying and Mapping (China)
Yuxiang Li, Chinese Academy of Surveying and Mapping (China)
Ronghua Yu, Chinese Academy of Surveying and Mapping (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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