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- W164021373 abstract "While Shannon’s work was based on quantification of potential rate of communication, study of information theory is not limited to this area. In this paper, we examine the Coordinate Digit Density (CDD) function as a method for applying principles of information theory to explore the effects of line generalization on geographic datasets. This analysis highlights issues in state-sequence dependency inherent in geographic datasets, changes in information content due to different generalization tolerances, and explores the differences between the two different generalization methods included in ESRI’s ArcInfo workstation, bendsimplify and pointremove (Douglas-Peucker). 2. The CDD defined" @default.
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- W164021373 date "2003-01-01" @default.
- W164021373 modified "2023-09-26" @default.
- W164021373 title "QUANTIFYING INFORMATION IN LINE GENERALIZATION" @default.
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