Spatio-temporal heterogeneity : concepts and analyses / Pierre R. L. Dutilleul.
Material type:
TextSeries: Ecology, biodiversity, and conservationPublication details: Cambridge ; New York : Cambridge University Press, 2011.Description: xxii, 393 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in.)ISBN: - 9781107400351 (paperback)
- 000SB:577 23 D976
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:577 D976 (Browse shelf(Opens below)) | Available | 135180 | |||
| CD/DVD | ISI Library, Kolkata CD/DVD Collection | 000SB:577 D976 (Browse shelf(Opens below)) | Available | D942 |
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| 000SB:577.88 Ep64 Degenerate diffusion operators arising in population biology / | 000SB:577.88 K54 Bayesian analysis for population ecology / | 000SB:577 D139 Spatial analysis : | 000SB:577 D976 Spatio-temporal heterogeneity : | 000SB:577 D976 Spatio-temporal heterogeneity : | 000SB:577 Es79 Computational approach to statistical arguments in ecology and evolution | 000SB:577 F742 Spatial analysis |
Includes bibliographical references and index.
Machine generated contents note: Foreword; Preface; 1. Conceptual introduction; 2. Spatio-temporal stochastic processes: definitions and properties; 3. Heterogeneity analysis of spatial point patterns; 4. Heterogeneity analysis of temporal and spatio-temporal point patterns; 5. Heterogeneity analysis of point patterns: process modeling and summary; 6. Heterogeneity analysis of time series; 7. Heterogeneity analysis of spatial surface patterns; 8. Heterogeneity analysis of spatio-temporal surface patterns; 9. Sampling and study design aspects in heterogeneity analysis of surface patterns; 10. Conclusions; Index.
"Attempts by ecologists to establish models for predicting the growth of a population or the fluctuations of a natural resource can be confounded by environmental heterogeneity. Spatio-Temporal Heterogeneity explores a range of available statistical methods to help ecologists in the attempt to unravel complexities, demonstrating how to place these changes into an understandable statistical framework. It addresses several key questions, including how to interpret the parameters of statistical models in relation to the biological and environmental realities, how to design a study to collect the best sample data and how to avoid pitfalls in modelling, design, statistical assessment and interpretation. Dutilleul uses a variety of examples to facilitate understanding, from plant ecology, earth and atmospheric sciences, animal biology, forestry and limnology. The accompanying CD-ROM contains MATLAB and SAS codes to aid analyses"--
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