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      CONISS: a FORTRAN 77 program for stratigraphically constrained cluster analysis by the method of incremental sum of squares

      Computers & Geosciences
      Elsevier BV

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          Quantitative Interpretation of Fossil Pollen Spectra: Dissimilarity Coefficients and the Method of Modern Analogs

          Dissimilarity coefficients measure the difference between multivariate samples and provide a quantitative aid to the identification of modern analogs for fossil pollen samples. How eight coefficients responded to differences among modern pollen samples from eastern North America was tested. These coefficients represent three different classes: (1) unweighted coefficients that are most strongly influenced by large-valued pollen types, (2) equal-weight coefficients that weight all pollen types equally but can be too sensitive to variations among rare types, and (3) signal-to-noise coefficients that are intermediate in their weighting of pollen types. The studies with modern pollen allowed definition of critical values for each coefficient, which, when not exceeded, indicate that two pollen samples originate from the same vegetation region. Dissimilarity coefficients were used to compare modern and fossil pollen samples, and modern samples so similar to fossil samples were found that most of three late Quaternary pollen diagrams could be “reconstructed” by substituting modern samples for fossil samples. When the coefficients indicated that the fossil spectra had no modern analogs, then the reconstructed diagrams did not match all aspects of the originals. No modern analogs existed for samples from before 9300 yr B.P. at Kirchner Marsh, Minnesota, and from before 11,000 yr B.P. at Wintergreen Lake, Michigan, but modern analogs existed for almost all Holocene samples from these two sites and Brandreth Bog, New York.
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            Multidimensional scaling as a research tool in quaternary palynology: A review of theory and methods

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              An Agglomerative Method for Classification of Plant Communities

              L. Orloci (1967)
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                Author and article information

                Journal
                Computers & Geosciences
                Computers & Geosciences
                Elsevier BV
                00983004
                January 1987
                January 1987
                : 13
                : 1
                : 13-35
                Article
                10.1016/0098-3004(87)90022-7
                90fd701b-456e-4945-bfa2-7eac2f5acbc4
                © 1987

                http://www.elsevier.com/tdm/userlicense/1.0/

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