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Spatial autocorrelation in biology 1. Methodology

dc.contributor.authorSokal, Robert R.en_US
dc.contributor.authorOden, Neal L.en_US
dc.date.accessioned2010-06-01T21:46:10Z
dc.date.available2010-06-01T21:46:10Z
dc.date.issued1978-06en_US
dc.identifier.citationSOKAL, ROBERT R.; ODEN, NEAL L. (1978). "Spatial autocorrelation in biology 1. Methodology." Biological Journal of the Linnean Society 10(2): 199-228. <http://hdl.handle.net/2027.42/74811>en_US
dc.identifier.issn0024-4066en_US
dc.identifier.issn1095-8312en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/74811
dc.format.extent1714959 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rights1978 The Linnean Societyen_US
dc.subject.otherSpatial Autocorrelationen_US
dc.subject.otherGeographic Variation Analysisen_US
dc.subject.otherSpatial Variation Patterns - Helix Aspersa.en_US
dc.titleSpatial autocorrelation in biology 1. Methodologyen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Ecology and Evolutionary Biology, The University of Michigan, Ann Arbor, Michigan 48109, USA.en_US
dc.contributor.affiliationotherDepartment of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, New York 11794, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/74811/1/j.1095-8312.1978.tb00013.x.pdf
dc.identifier.doi10.1111/j.1095-8312.1978.tb00013.xen_US
dc.identifier.sourceBiological Journal of the Linnean Societyen_US
dc.identifier.citedreferenceBOX, G. E. & JENKINS, G. M., 1970. Time and Series Analysis. San Francisco: Holden-Day.en_US
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dc.identifier.citedreferenceMATHERON, G., 1971. The theory of regionalized variables and its applications. Cahiers Centre Morphologie Mathematique Fontainebleau, No. S: 211 pp.en_US
dc.identifier.citedreferencePIELOU, E. C., 1974. Population and Community Ecology: Principles and Methods. New York: Gordon & Breach.en_US
dc.identifier.citedreferenceROYALTEY, H. R., ASTRACHAN, E. & SOKAL, R. R., 1975 Tests for patterns in geographic variation. Geographical Analysis 7: 369 – 395.en_US
dc.identifier.citedreferenceSELANDER, R. K. & KAUFMAN, D. W., 1975 Genetic structure of populations of the brown snail (Helix aspersa). I. Microgeographic variation. Evolution 29: 385 – 401.en_US
dc.identifier.citedreferenceSNEATH, P. H. A. & SOKAL, R. R., 1973. Numerical Taxonomy: 573 pp. San Francisco: W. H. Freeman.en_US
dc.identifier.citedreferenceSOKAL, R. R., HERYFORD, N. N. & KISHPAUGH, J. R. L., 1971 Changes in microgeographic variation patterns of Pemphigus populitransversus over a six-year spaa Evolution 25: 584 – 590.en_US
dc.identifier.citedreferenceSOKAL, R. R. & ODEN, N. L., 1978 Spatial autocorrelation in biology. 2. Some biological implications and four applications of evolutionary and ecological interest. Biological Journal of the Linnean Society 10: 229 – 249.en_US
dc.identifier.citedreferenceSOKAL, R. R. & ROHLF, F. J., 1969. Biometry: 776 pp. San Francisco: W. H. Freeman.en_US
dc.identifier.citedreferenceTOBLER, W. R., 1975. Linear operation applied to areal data. In J. C. Davis &, M. J. McCullogh, Display and Analysis of Spatial Data: 378 pp. London: John Wiley.en_US
dc.identifier.citedreferenceWHITTLE, P., 1954 On stationary processes in the plane. Biometrika 41: 434 – 449.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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