Algorithmic selection of the best method for compressing map data strings

Author:

Amidon E. L.1,Akin G. S.1

Affiliation:

1. Pacific Southwest Forest and Range Experiment Station, Berkeley, CA

Abstract

The best of a dozen different methods for compressing map data is illustrated. The choices are generated by encoding data strings—sequence of like codes—by three methods and in four directions. Relationships are developed between compression alternatives to avoid comparing all of them. The technique has been used to compress data from forest resource maps, but is widely applicable to map and photographic data reduction.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference5 articles.

1. Representations for space planning

2. Picture Processing by Computer

3. Hill M.R. and Amidon E.L. Inventorying national forest resources. for planning-programming-budgeting system. U.S. Forest Serv. Res. Note PSW-178 1968. Hill M.R. and Amidon E.L. Inventorying national forest resources. for planning-programming-budgeting system. U.S. Forest Serv. Res. Note PSW-178 1968.

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1. Storage and retrieval considerations of binary data bases;Information Processing & Management;1985-01

2. Performance analysis of compaction techniques for map representation in geographic databases;Computers & Graphics;1982-01

3. Determination of the number of unambiguous bit matrices;International Journal of Computer & Information Sciences;1977-09

4. Indexing with coded deltas—a data compaction technique;Software: Practice and Experience;1976-07

5. An adaptive on line data compression system;The Computer Journal;1976-03-01

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