Numerical EcologyThe 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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Contents
Complex ecological data sets
 1 
Matrix algebra a summary
 59 
Dimensional analysis in ecology
 109 
Multidimensional quantitative data
 143 
Multidimensional semiquantitative data
 195 
Multidimensional qualitative data
 219 
Ecological resemblance
 265 
Cluster analysis
 337 
Interpretation of ecological structures
 521 
Canonical analysis
 625 
Ecological data series
 711 
Spatial analysis
 785 
Multiscale analysis spatial eigenfunctions  859 
907  
969  
Ordination in reduced space
 425 
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Common terms and phrases
abundance analysis approach association axes axis calculation called canonical Chapter clustering coefficient columns compared computed considered contains coordinates correlation corresponding covariance data sets dependence described descriptors determine discussed distance distribution ecological effect eigenfunctions eigenvalues eigenvectors environmental equal equation estimate Euclidean example explained explanatory variables Figure fitted fraction frequency function given groups hypothesis included independent indices interpretation Legendre length linear matrix mean measure methods multiple multivariate normal Numerical example objects observations obtained original package pairs partial partitioning period permutation plot points positive possible present principal component problem produce provides quantitative random reference regression relationships represented respect response rows sampling scaling Section shown shows significance similarity single space spatial species square standard statistic step structure Subsection Table transformation units values variables variance variation vector weights