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    Numerical Ecology

    Numerical Ecology

    - Volume 24

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    Bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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.

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    Detaljer
    • SprogEngelsk
    • Sidetal1006
    • Udgivelsesdato03-07-2012
    • ISBN139780444538680
    • Forlag Elsevier Science Ltd
    • FormatPaperback
    Størrelse og vægt
  • Vægt2040 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,4 cm

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    Regression Biodiversity Matrix inversion Dimensional analysis Eigenvalues Ordination Kriging Species diversity Path analysis Random variables Dispersal Nonparametric statistics Correspondence analysis Cluster analysis Spatial analysis Eigenvectors Spectral analysis permutation trend Wavelet Analysis Vector Seriation Scaling Missing data Structure/function Spatial Dependence Clustering Linear discriminant analysis Rank statistics Canonical Form Partial correlation Singular value decomposition Canonical correlation analysis Multivariate Physical Model Multiscale analysis Cluster validation Spatial correlation Covariance matrix Association Coefficients Dispersion matrix Variogram Data matrix Statistical testing Correlation Matrix Discontinuities Tests of significance Alpha Diversity ANOSIM test association matrix Beals smoothing asymmetric eigenvector map Canonical Analysis biological associations choice of a coefficient clustering reversals complete set of dimensionless products coefficients of dependence connection network biological association descriptor coding dissimilarity coefficients distance coefficients canonical analysis of community composition data Co-inertia Analysis ecological prediction data series Canonical Correspondence Analysis choice of a clustering method chronological clustering ecological applications double-zero problem clustering statistics cluster representation ecological descriptors coefficients of dependence for species abundances dimensions of physical quantities fourth-corner problem forecasting ecological structures coefficient of concordance W Ecological Boundary ecological resemblance explaining ecological structures Cophenetic Matrix correspondence in contingency tables Correlogram constrained ordination map gamma diversity hierarchical divisive clustering hierarchical agglomerative clustering distance-based Moran's eigenvector map interpretation of ecological structures Ecological Data Sets Kendall θ Matrix Multiplication Multiple correlation multiscale codependence analysis multivariate regression tree analysis multivariate regression trees numerical filter Moran's eigenvector map multidimensional variable multidimensional statistics multivariate variogram Matrix determinant matrix algebra Nonmetric Multidimensional Scaling multidimensional quantitative data Multinormal Distribution one-dimensional nonparametric statistics gradient analysis ordination in reduced space Procrustes test quantitative semiquantitative and qualitative multidimensional data information and entropy R analysis principal component analysis of a correlation matrix Q analysis principal component analysis of a dispersion matrix Procrustes analysis interpolated map Rank of a Matrix Rank Correlation spatial correlogram spatial modeling through canonical analysis Π(pi) theorem Redundancy Analysis space-constrained clustering test of multinormality species diversity through space species evenness transformations for community composition data similarity coefficients matrix addition time-constrained clustering metric ordination of community composition data spatial eigenfunctions multidimensional qualitative data Mantel Test numerical ecology periodogram multidimensional semiquantitative data multiscale ordination Mantel correlogram principal axes Scale factor multiscale analysis of beta diversity multiway contingency table series analysis Spearman r species clustering partitioning by K-means Principal Coordinate Analysis two-way contingency table ultrametric property unconstrained ordination map Single Linkage Clustering species equitability tests of normality Spatial Structure trend-surface analysis structure function

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