Detecting twodimensional spatial structure in biological data
 P. A. Jumars,
 D. Thistle,
 M. L. Jones
 … show all 3 hide
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Cliff and Ord (1973) made versatile methods available for the direct utilization of location data in the analysis of dispersion patterns, but their monograph has as yet seen little use in the ecological literature. Application of their weighted forms of Geary's c and Moran's I indices of spatial autocorrelation to some marine benthos data demonstrates a diversity of population structure not anticipated on the basis of more common measures of pattern. These indices provide objective means to evaluate numerous recent spatial models and hypotheses in geographical ecology and genetics. The procedures are particularly attractive because (1) they efficiently utilize data which are often wasted (i.e., sample coordinates), (2) their application puts few constraints on sampling designs which would otherwise be employed, and (3) they reveal and quantify pattern differences which are not obvious to the untrained eye.
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 Title
 Detecting twodimensional spatial structure in biological data
 Journal

Oecologia
Volume 28, Issue 2 , pp 109123
 Cover Date
 19770601
 DOI
 10.1007/BF00345246
 Print ISSN
 00298549
 Online ISSN
 14321939
 Publisher
 SpringerVerlag
 Additional Links
 Topics
 Industry Sectors
 Authors

 P. A. Jumars ^{(1)}
 D. Thistle ^{(2)}
 M. L. Jones ^{(3)}
 Author Affiliations

 1. Department of Oceanography, WB10, University of Washington, 98195, Seattle, WA, USA
 2. Scripps Institution of Oceanography, A008, 92093, La Jolla, CA, USA
 3. Department of Invertebrate Zoology, Rm. W323, National Museum of Natural History, Smithsonian Institution, 20560, Washington, DC, USA