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Références citées dans la documentation

Literature cited in the documentation

Anderberg, M. R. 1973. Cluster analysis for applications. Academic Press, New York. xiii + 35p. Blanc, F., P. Chardy, A. Laurec & J.-P. Reys. 1976. Choix des métriques qualitatives en analyse d'inertie. Implication en écologie marine benthique. Mar. Biol. (Berl.) 35: 49-67. Burgman, M. 1987. An analysis of the distribution of plants on organic outcrops in southern Western Australia using Mantel tests. Vegetatio 71: 79-86. Cailliez, F. & J.-P. Pagès. 1976. Introduction à l'analyse des données. Société de Mathématiques appliquées et de Sciences humaines, Paris. xxii + 616 p. Cheetham, A. H. & J. E. Hazel. 1969. Binary (presence-absence) similarity coefficients. J. Paleontol. 43: 1130-1136. Cliff, A. D. & J. K. Ord. 1981. Spatial processes: Models and applications. Pion Ltd., London. Clifford, H. T. & W. Stephenson. 1975. An introduction to numerical classification. Academic Press, New York. xii + 229 p. Cooper, D. W. 1968. The significance level in multiple tests made simultaneously. Heredity 23: 614-617. Daget, J. 1976. Les modèles mathématiques en écologie. Collection d'Écologie, No 8. Masson, Paris. viii + 172 p. Dirichlet, G. L. 1850. Über die Reduction der positiven quadratischen Formen mit drei unbestimmten ganzen Zahlen. Journal für die reine und angewandte Mathematik 40: 209-234. Dow, M. M. & J. M. Cheverud. 1985. Comparison of distance matrices in studies of population structure and genetic microdifferenciation: quadratic assignment. Am. J. Phys. Anthropol. 68: 367-373. Edgington, E. S. 1987. Randomization tests, 2nd ed. Marcel Dekker Inc., New York. Estabrook, G. F. & D. J. Rogers. 1966. A general method of taxonomic description for a computed similarity measure. BioScience 16: 789-793. Everitt, B. 1980. Cluster analysis, 2nd edition. Halsted Press, John Wiley & Sons, New York. Frontier, S. 1976. Étude de la décroissance des valeurs propres dans une analyse en composantes principales: comparaison avec le modèle du bâton brisé. J. exp. mar. Biol. Ecol. 25: 67-75. Gabriel, K. R. & R. R. Sokal. 1969. A new statistical approach to geographic variation analysis. Syst. Zool. 18: 259-278. Galzin, R. & P. Legendre. 1987. The fish communities of a coral reef transect. Pacific Science 41: 158-165. Gower, J. C. 1966. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53: 325-338. Gower, J. C. 1982. Euclidean distance geometry. Math. Scientist 7: 1-14. Gower, J. C. 1983. Comparing classifications. Pp. 137-155 in: Felsenstein, J. [ed.] Numerical taxonomy. NATO ASI Series, Vol. G 1. Springer-Verlag, Berlin. x + 644 p. Gower, J. C. 1985. Measures of similarity, dissimilarity, and distance. Pp. 397-405 in: Kotz, S. & N. L. Johnson [eds.] Encyclopedia of Statistical Sciences, Vol. 5. Wiley, New York. Gower, J. C. & P. Legendre. 1986. Metric and Euclidean properties of dissimilarity coefficients. Journal of Classification 3: 5-48. Harris, C. W. & H. F. Kaiser. 1964. Oblique factor analytic solutions by orthogonal transformations. Psychometrika 29: 347-362. Hope, A. C. A. 1968. A simplified Monte Carlo significance test procedure. J. Roy. Stat. Soc. Ser. B 30: 582-598. Hubert, L. J. 1985. Combinatorial data analysis: association and partial association. Psychometrika 50: 449-467. Hubert, L. J., R. G. Golledge & C. M. Constanzo. 1982. Analysis of variance procedures based on a proximity measure between subjects. Psychological Bull. 91: 424-430. Hudon, C. & G. Lamarche. 1989. Niche segregation between American lobster Homarus americanus and rock crab Cancer irroratus. Mar. Ecol. Prog. Ser. 52: 155-168. Isaaks, E. H. & R. M. Srivastava. 1989. An introduction to applied geostatistics. Oxford University Press, New York. xix + 561 p. Jackson, D. A. & K. M. Somers. 1988. Are probability estimates from the permutation model of Mantel's test stable? Can. J. Zool. 67: 766-769. Jain, A. K. & R. C. Dubes. 1988. Algorithms for clustering data. Prentice Hall, Englewood Cliffs, New Jersey. xiv + 320 p. Kaiser, H. F. 1958. The varimax criterion for analytic rotation in factor analysis. Psychometrika 23: 187-200. Lance, G. N. & W. T. Williams. 1966a. A generalized sorting strategy for computer classifications. Nature (Lond.) 212: 218. Lance, G. N. & W. T. Williams. 1966b. Computer programs for hierarchical polythetic classification ('"'similarity analyses'"'). Computer Journal 9: 60-64. Lance, G. N. & W. T. Williams. 1967. A generalized theory of classificatory sorting strategies. I. Hierarchical systems. Computer Journal 9: 373-380. Legendre, L., M. Fréchette & P. Legendre. 1981. The contingency periodogram: a method of identifying rhythms in series on nonmetric ecological data. J. Ecol. 69: 965-979. Legendre, L. & P. Legendre. 1983. Numerical ecology. Developments in environmental modelling, 3. Elsevier Scient. Publ. Co., Amsterdam. xvi + 419 p. Legendre, L. & P. Legendre. 1984a. Ecologie numérique, 2ième éd. Tome 1: Le traitement multiple des données écologiques. Tome 2: La structure des données écologiques. Collection d'Écologie, 12 et 13. Masson, Paris et les Presses de l'Université du Québec. xv + 260 p., viii + 335 p. Legendre, P. 1987. Constrained clustering. Pp. 289-307 in: P. Legendre & L. Legendre [eds.] Developments in numerical ecology. NATO ASI Series, Vol. G 14. Springer-Verlag, Berlin. xi + 585 p. Legendre, P. & A. Chodorowski. 1977. A generalization of Jaccard's association coefficient for Q analysis of multi-state ecological data matrices. Ekol. Pol. 25: 297-308. Legendre, P., S. Dallot & L. Legendre. 1985. Succession of species within a community: chronological clustering, with applications to marine and freshwater zooplankton. Amer. Nat. 125: 257-288. Legendre, P. & M.-J. Fortin. 1989. Spatial pattern and ecological analysis. Vegetatio 80: 107-138. Legendre, P. & V. Legendre. 1984b. Postglacial dispersal of freshwater fishes in the Québec peninsula. Can J. Fish. Aquat. Sci. 41: 1781-1802. Legendre, P., N. L. Oden, R. R. Sokal, A. Vaudor & J. Kim. 1990. Approximate analysis of variance of spatially autocorrelated regional data. J. Class. 7: 53-75. Legendre, P. & M. Troussellier. 1988. Aquatic heterotrophic bacteria: modeling in the presence of spatial autocorrelation. Limnology and Oceanography 33: 1055-1067. MacQueen, J. 1967. Some methods for classification and analysis of multivariate observations. Pp. 281-297 in: L. M. Le Cam & J. Neyman [eds.] Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, Vol. 1. University of California Press, Berkeley. xvii + 666 p. Mantel, N. 1967. The detection of disease clustering and a generalized regression approach. Cancer Res. 27: 209-220. McCune, B. & T. F. H. Allen. 1985. Will similar forest develop on similar sites? Can. J. Bot. 63: 367-376. Mielke, P. W. 1978. Clarification and appropriate inferences for Mantel and Valand's nonparametric multivariate analysis technique. Biometrics 34: 277-282. Miles, R. E. 1970. On the homogeneous planar Poisson point process. Math. Biosci. 6: 85-127. Miller Jr., R. G. 1977. Developments in multiple comparisons. J. Amer. Stat. Ass. 72: 779-788. Oden, N. L. 1984. Assessing the significance of spatial correlograms. Geogr. Anal. 16: 1-16. Oden, N. L. & R. R. Sokal. 1986. Directional autocorrelation: An extension of spatial correlograms to two dimensions. Syst. Zool. 35: 608-617. Oden, N. L. & R. R. Sokal. Investigation of 3-matrix quadratic assignment tests. (Submitted). Orlóci, L. 1978. Multivariate analysis in vegetation research. 2nd ed. Dr. W. Junk B. V., The Hague. ix + 451 p. Ripley, B. D. 1981. Spatial statistics. John Wiley & Sons, New York. Rohlf, F. J., J. Kishpaugh & D. Kirk. 1971. NT-SYS. Numerical taxonomy system of multivariate statistical programs. Tech. Rep. State University of New York at Stony Brook, New York. SAS. 1985. SAS user's guide: statistics. SAS Institute Inc., Cary, North Carolina. Smouse, P. E., J. C. Long & R. R. Sokal. 1986. Multiple regression and correlation extensions of the Mantel test of matrix correspondence. Syst. Zool. 35: 627-632. Sneath, P. H. A. 1966. A comparison of different clustering methods as applied to randomly-spaced points. Classification Society Bulletin 1: 2-18. Sneath, P. H. A. & R. R. Sokal. 1973. Numerical taxonomy -- The principles and practice of numerical classification. W. H. Freeman, San Francisco. xv + 573 p. Sokal, R. R. 1986. Spatial data analysis and historical processes. Pp. 29-43 in: Diday, E. et al. [eds.] Data analysis and informatics, IV. Proc. Fourth Int. Symp. Data Anal. Informatics, Versailles, France, 1985. North-Holland, Amsterdam. Sokal, R. R., I. A. Lengyel, P. A. Derish, M. C. Wooten & N. L. Oden. 1987. Spatial autocorrelation of ABO serotypes in mediaeval cemeteries as an indicator of ethnic and familial structure. J. Archaeol. Sci. 14: 615-633. Sokal, R. R. & N. L. Oden. 1978. Spatial autocorrelation in biology. 1. 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Computing the n-dimensional Delaunay tesselation with application to Voronoi polygones. Computer J. 24: 167-172. Williams, W. T. & M. B. Dale. 1965. Fundamental problems in numerical taxonomy. Adv. bot. Res. 2: 35-68.


Last updated on Saturday, March 30, 2013 by Philippe Casgrain
Created on Friday, January 01, 2004