Numerical Ecology (Volume 24) (Developments in Environmental Modelling, Volume 24, Band 20) - Softcover
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The book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others. Compared to the first edition of Numerical Ecology, this second edition includes three new chapters, dealing with the analysis of semiquantitative data, canonical analysis and spatial analysis. New sections have been added to almost all other chapters. There are sections listing available computer programs and packages at the end of several chapters. As in the previous English and French editions, there are numerous examples from the ecological literature, and the choice of methods is facilitated by several synoptic tables.
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Numerical Ecology, 2nd Edition (Developments in Environmental Modelling, Vol. 20) (Developments in Environmental Modelling, Volume 24)
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Numerical Ecology
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Elsevier Science Serials, 1998
ISBN 10: 0444892508
ISBN 13: 9780444892508
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Numerical Ecology (Volume 24) (Developments in Environmental Modelling, Volume 24)
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Numerical Ecology. Developments in Environmental Modelling, Volume 24, 20.
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Amsterdam : Elsevier Science, 2000
ISBN 10: 0444892508
ISBN 13: 9780444892508
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kart. Zustand: Sehr gut. Second impression. 852 pgs. Good copy with small signs of wear, little corner bump. - Contents: Preface xi -- Complex ecological data sets -- Numerical analysis of ecological data -- Autocorrelation and spatial structure -- -Types of spatial structures -- - Tests of statistical significance in the presence of autocorrelation -- - Classical sampling and spatial structure -- Statistical testing by permutation -- -Classical tests of significance -- -Permutation tests -- -Numerical example -- - Remarks on permutation tests -- Computers -- Ecological descriptors -- - Mathematical types of descriptor -- - Intensive -- extensive -- additive -- and non- additive descriptors -- Coding -- - Linear transformation -- -Nonlinear transformations -- - Combining descriptors -- - Ranging and standardization -- - Implicit transformation in association coefficients -- -Normalization -- -Dummy variable (binary) coding -- Missing data -- - Deleting rows or columns -- -Accommodating algorithms to missing data -- - Estimating missing values -- Matrix algebra: a summary -- Matrix algebra -- The ecological data matrix -- Association matrices -- Special matrices -- Vectors and scaling -- Contents -- vi -- Matrix addition and multiplication -- Determinant -- The rank of a matrix -- Matrix inversion -- Eigenvalues and eigenvectors -- -Computation -- - Numerical examples -- Some properties of eigenvalues and eigenvectors -- Singular value decomposition -- Dimensional analysis in ecology -- Dimensional analysis -- Dimensions -- Fundamental principles and the Pi theorem -- The complete set of dimensionless products -- Scale factors and models -- Multidimensional quantitative data -- Multidimensional statistics -- Multidimensional variables and dispersion matrix -- Correlation matrix -- Multinormal distribution -- Principal axes -- Multiple and partial correlations -- -Multiple linear correlation -- -Partial correlation -- - -- statistical significance -- -Interpretation of correlation coefficien -- - Causal modelling using correlations -- Multinormal conditional distribution -- Tests of normality and multinormality -- Multidimensional semiquantitative data -- Nonparametric statistics -- Quantitative -- semiquantitative -- and qualitative multivariates -- One-dimensional nonparametric statistics -- Multidimensional ranking tests -- Multidimensional qualitative data -- General principles -- Information and entropy -- Two-way contingency tables -- Multiway contingency tables -- Contingency tables: correspondence -- Species diversity -- - Diversity -- - Evenness -- equitability -- Ecological resemblance -- The basis for clustering and ordination -- Q and R analyses -- Association coefficients -- Q mode: similarity coefficients -- - Symmetrical binary coefficients -- - Asymmetrical binary coefficients -- -Symmetrical quantitative coefficients -- -Asymmetrical quantitative coefficients -- - Probabilistic coefficients -- Q mode: distance coefficients -- - Metric distances -- -Semimetrics -- R mode: coefficients of dependence -- - Descriptors other than species abundances -- -Species abundances: biological associations -- Choice of a coefficient -- Computer programs and packages -- Cluster analysis -- A search for discontinuities -- Definitions -- The basic model: single linkage clustering -- Cophenetic matrix and ultrametric property -- - Cophenetic matrix -- - Ultrametric property -- The panoply of methods -- -Sequential versus simultaneous algorithms -- -Agglomeration versus division -- -Monothetic versus polythetic methods -- -Hierarchical versus non-hierarchical methods -- -Probabilistic versus non-probabilistic methods -- Hierarchical agglomerative clustering -- -Single linkage agglomerative clustering -- -Complete linkage agglomerative clustering -- -Intermediate linkage clustering -- -Unweighted arithmetic average clustering (UPGMA) -- -Weighted arithmetic average clustering (WPGMA) -- - Unweighted centroid clustering (UPGMC) -- -Weighted centroid clustering (WPGMC) -- -Ward'. Bestandsnummer des Verkäufers 1253253
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