1.

Record Nr.

UNINA9910695904703321

Autore

Cochran Susan A (Susan Allene)

Titolo

Geologic resource evaluation of Puʻuhonua o Hōnaunau National Historical Park, Hawaíi . Part II Benthic habitat mapping volume [[electronic resource] /] / by Susan A. Cochran, Ann E. Gibbs, and Joshua B. Logan ; prepared in cooperation with the U. S. National Park Service

Pubbl/distr/stampa

Reston, Va. : , : U.S. Geological Survey, , 2006

Descrizione fisica

iv, 20 pages : digital, PDF file

Collana

Scientific investigations report ; ; 2006-5258

Altri autori (Persone)

GibbsAnn E

LoganJoshua B

Soggetti

Benthos - Habitat - Hawaii - Puʻuhonua o Hōnaunau National Historical Park

Ocean bottom - Hawaii - Puʻuhonua o Hōnaunau National Historical Park

Maps.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from PDF title screen (viewed on Apr. 19, 2007).

At head of title on HTML title screen: Coastal and Marine Geology Program.

Nota di bibliografia

Includes bibliographical references (pages 15-16).



2.

Record Nr.

UNINA9910790320203321

Autore

Legendre Pierre <1946->

Titolo

Numerical ecology [[electronic resource] /] / Pierre Legendre and Louis Legendre

Pubbl/distr/stampa

Amsterdam ; ; Boston, : Elsevier, 2012

ISBN

1-283-73471-0

0-444-53869-0

Edizione

[3rd English ed.]

Descrizione fisica

1 online resource (1007 p.)

Collana

Developments in environmental modelling ; ; 24

Altri autori (Persone)

LegendreLouis

LegendrePierre <1946->

Disciplina

577.0151

Soggetti

Ecology - Mathematics

Environmental sciences - Mathematics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Front 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

2.8 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

4.5 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

Chapter 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

8.7 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

Chapter 10: Interpretation of ecological structures

Sommario/riassunto

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.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