A Conjecture on the Use of Shannon's Formula for Measuring Spatial Information

Abstract

Geographical AnalysisVolume 11, Issue 3 p. 304-310 Free Access A Conjecture on the Use of Shannon's Formula for Measuring Spatial Information Michael Batty, Michael Batty Michael Batty is reader in geography, University of Reading, and adjunct professor of civil engineering. University of Waterloo.Search for more papers by this authorRoger Sammons, Roger Sammons Roger Sammons is lecturer in geography, University of Reading.Search for more papers by this author Michael Batty, Michael Batty Michael Batty is reader in geography, University of Reading, and adjunct professor of civil engineering. University of Waterloo.Search for more papers by this authorRoger Sammons, Roger Sammons Roger Sammons is lecturer in geography, University of Reading.Search for more papers by this author First published: July 1979 https://doi.org/10.1111/j.1538-4632.1979.tb00696.xCitations: 11 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat LITERATURE CITED 1 Arumi, F. N. Entropy and Demography. Nature (London), 243 (1973), 497– 99. 2 Batty, M. Urban Density and Entropy Functions. Journal of Cybernetics, 4 (1974), 41– 55. 3 Batty, M., and R. Sammons. On Searching for the Most Informative Spatial Pattern. Environment and Planning A, 10 (1978), 747– 79. 4 Guiasu, S. Information Theory with Applications. New York: McGraw-Hill, 1977. 5 Hobson, A., and B. K. Cheng. A Comparison of the Shannon and Kullback Information Measures. Journal of Statistical Physics, 7 (1973), 301– 10. 6 Jaynes, E. T. Information Theory and Statistical Mechanics. Physics Review, 106 (1957), 620– 30. 7 MacQueen, J., and J. Marschak. Partial Knowledge, Entropy and Estimation. Proceedings of the National Academy of Sciences, USA, 72 (1975), 3819– 24. 8 Reyni, A. Probability Theory. Amsterdam: North-Holland, 1970. 9 Reza, F. M. An Introduction to Information Theory. New York: McGraw-Hill, 1961. 10 Sammons, R. J. A Simplistic Approach to Political Redistricting”. In Spatial Representation and Spatial Interaction, edited by I. Masser and P. Brown, pp. 71– 94. Leiden, Holland: Martinus Nijhoff, 1978. 11 Shannon, C. E. A Mathematical Theory of Communication. Bell System Technical Journal, 27 (1948), 379– 423, 623–56. 12 Soest, J. L. van. Some Consequences of the Finiteness of Information”. In Information Theory: Proceedings of the Third London Symposium, edited by C. Cherry, pp. 3– 6. London: Butterworths, 1956. 13 Sukhov, V. I. Application of Information Theory in Generalisation of Map Contents. International Yearbook of Cartography, 10 (1970), 41– 47. 14 White, H. C. The Entropy of a Continuous Distribution. Bulletin of Mathematical Biophysics (Special Issue), 27 (1965), 135– 43. Citing Literature Volume11, Issue3July 1979Pages 304-310 ReferencesRelatedInformation