LEADER 05529nam 2200697Ia 450 001 9910815268703321 005 20200520144314.0 010 $a1-283-73471-0 010 $a0-444-53869-0 035 $a(CKB)2670000000230217 035 $a(EBL)982554 035 $a(OCoLC)804661963 035 $a(SSID)ssj0000741566 035 $a(PQKBManifestationID)11470138 035 $a(PQKBTitleCode)TC0000741566 035 $a(PQKBWorkID)10720490 035 $a(PQKB)10358804 035 $a(MiAaPQ)EBC982554 035 $a(Au-PeEL)EBL982554 035 $a(CaPaEBR)ebr10583676 035 $a(CaONFJC)MIL404721 035 $a(PPN)166455210 035 $a(EXLCZ)992670000000230217 100 $a20120810d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNumerical ecology /$fPierre Legendre and Louis Legendre 205 $a3rd English ed. 210 $aAmsterdam ;$aBoston $cElsevier$d2012 215 $a1 online resource (1007 p.) 225 1 $aDevelopments in environmental modelling ;$v24 300 $aDescription based upon print version of record. 311 $a0-444-53868-2 320 $aIncludes bibliographical references and index. 327 $aFront Cover; Numerical Ecology; Copyright; Contents; Preface; Chapter 1: Complex ecological data sets; 1.0 Numerical analysis of ecological data; 1.1 Spatial structure, spatial dependence, spatial correlation; 1.2 Statistical testing by permutation; 1.3 Computer programs and packages; 1.4 Ecological descriptors; 1.5 Coding; 1.6 Missing data; 1.7 Software; Chapter 2: Matrix algebra: a summary; 2.0 Matrix algebra; 2.1 The ecological data matrix; 2.2 Association matrices; 2.3 Special matrices; 2.4 Vectors and scaling; 2.5 Matrix addition and multiplication; 2.6 Determinant; 2.7 Rank of a matrix 327 $a2.8 Matrix inversion2.9 Eigenvalues and eigenvectors; 2.10 Some properties of eigenvalues and eigenvectors; 2.11 Singular value decomposition; 2.12 Software; Chapter 3: Dimensional analysis in ecology; 3.0 Dimensional analysis; 3.1 Dimensions; 3.2 Fundamental principles and the Pi theorem; 3.3 The complete set of dimensionless products; 3.4 Scale factors and models; Chapter 4: Multidimensional quantitative data; 4.0 Multidimensional statistics; 4.1 Multidimensional variables and dispersion matrix; 4.2 Correlation matrix; 4.3 Multinormal distribution; 4.4 Principal axes 327 $a4.5 Multiple and partial correlations4.6 Tests of normality and multinormality; 4.7 Software; Chapter 5: Multidimensional semiquantitative data; 5.0 Nonparametric statistics; 5.1 Quantitative, semiquantitative, and qualitative multivariates; 5.2 One-dimensional nonparametric statistics; 5.3 Rank correlations; 5.4 Coefficient of concordance; 5.5 Software; Chapter 6: Multidimensional qualitative data; 6.0 General principles; 6.1 Information and entropy; 6.2 Two-way contingency tables; 6.3 Multiway contingency tables; 6.4 Contingency tables: correspondence; 6.5 Species diversity; 6.6 Software 327 $aChapter 7: Ecological resemblance7.0 The basis for clustering and ordination; 7.1 Q and R analyses; 7.2 Association coefficients; 7.3 Q mode: similarity coefficients; 7.4 Q mode: distance coefficients; 7.5 R mode: coefficients of dependence; 7.6 Choice of a coefficient; 7.7 Transformations for community composition data; 7.8 Software; Chapter 8: Cluster analysis; 8.0 A search for discontinuities; 8.1 Definitions; 8.2 The basic model: single linkage clustering; 8.3 Cophenetic matrix and ultrametric property; 8.4 The panoply of methods; 8.5 Hierarchical agglomerative clustering; 8.6 Reversals 327 $a8.7 Hierarchical divisive clustering8.8 Partitioning by K-means; 8.9 Species clustering: biological associations; 8.10 Seriation; 8.11 Multivariate regression trees (MRT); 8.12 Clustering statistics; 8.13 Cluster validation; 8.14 Cluster representation and choice of a method; 8.15 Software; Chapter 9: Ordination in reduced space; 9.0 Projecting data sets in a few dimensions; 9.1 Principal component analysis (PCA); 9.2 Correspondence analysis (CA); 9.3 Principal coordinate analysis (PCoA); 9.4 Nonmetric multidimensional scaling (nMDS); 9.5 Software 327 $aChapter 10: Interpretation of ecological structures 330 $aThe book describes and discusses the numerical methods which are successfully being used for analysing ecological data, using a clear and comprehensive approach. These methods are derived from the fields of mathematical physics, parametric and nonparametric statistics, information theory, numerical taxonomy, archaeology, psychometry, sociometry, econometry and others.An updated, 3rd English edition of the most widely cited book on quantitative analysis of multivariate ecological dataRelates ecological questions to methods of statistical analysis, with a clear descripti 410 0$aDevelopments in environmental modelling ;$v24. 606 $aEcology$xMathematics 606 $aEnvironmental sciences$xMathematics 615 0$aEcology$xMathematics. 615 0$aEnvironmental sciences$xMathematics. 676 $a577.0151 700 $aLegendre$b Pierre$f1946-$01615476 701 $aLegendre$b Louis$0102781 701 $aLegendre$b Louis$0102781 701 $aLegendre$b Pierre$f1946-$01615476 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815268703321 996 $aNumerical ecology$93945687 997 $aUNINA