Includes bibliographical references (pages 275-290) and index.
1. Introduction -- 2. Data collection -- 3. Regression -- 4. Calibration -- 5. Ordination -- 6. Cluster analysis -- 7. Spatial aspects of ecological data -- 8. Numerical methods in practice: case-studies.
0
Barendregt, R.
Burrough, J.
Burrough; 8.
Calibration C.
Cluster analysis O.
Contents List of contributors; Preface to first edition; Acknowledgement; List of symbols; Dune meadow data; 1.
Data collection J.
Ecologists need to analyze their field data to interpret relationships within plant and animal communities and with their environments.
Exercises and solution are provided for practice.
Introduction R.
Jager and C.
Jongman and T.
Jongman; 2.
Looman; 3.
Looman; 4.
Numerical methods in practice: case-studies P.
Ordination C.
Oudhof, A.
Regression C.
Spatial aspects of ecological data P.
Subjects treated include data requirements, regression analysis, calibration (or inverse regression), ordination techniques, cluster analysis, and spatial analysis of ecological data.
ter Braak and C.
ter Braak; 5.
ter Braak; 6.
The authors take pains to use only elementary mathematics and explain the ecological models behind the techniques.
The purpose of this book is to show ecologists and environmental scientists what numerical and statistical methods are most useful, how to use them and interpret the results from them, and what pitfalls to avoid.
This is a reissue of a book first published in 1987 by Pudoc (The Netherlands).
This is the only book written specifically for ecologists that explains such techniques as logistic regression, canonical correspondence analysis, and kriging (statistical manipulation of data).