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Information Theory as a Basis for Studying Environmental Complexity: Some Limitations

Author

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  • J F Betak

    (Department of Geography, McMaster University, Hamilton L8S 4K1, Ontario, Canada)

Abstract

It has been proposed that humans need and prefer an optimal level of complexity in the urban environment. Information-theory formulations have been proposed as a means of evaluating environmental complexity. This paper considers the use of information theory as the basis for treating environmental complexity. Six information-theory concepts are evaluated: unexpectedness, structural complexity, metrical information, redundancy, message, and noise. Their implications and limitations for studying environmental complexity are specified. It is concluded that information theory does not provide a sound basis for studying environmental complexity.

Suggested Citation

  • J F Betak, 1974. "Information Theory as a Basis for Studying Environmental Complexity: Some Limitations," Environment and Planning A, , vol. 6(3), pages 259-272, June.
    • Handle: RePEc:sae:envira:v:6:y:1974:i:3:p:259-272
    DOI: 10.1068/a060259
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    Cited by:

    1. Kingsley Haynes & Rajendra Kulkarni & Roger Stough, 2007. "Traffic Grammar and Algorithmic Complexity in Urban Freeway Flow Patterns," Networks and Spatial Economics, Springer, vol. 7(4), pages 333-351, December.

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