| ISBN13: | 9781032531014 |
| ISBN10: | 10325310111 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 294 oldal |
| Méret: | 254x178 mm |
| Súly: | 793 g |
| Nyelv: | angol |
| Illusztrációk: | 16 Illustrations, black & white; 82 Illustrations, color; 16 Line drawings, black & white; 82 Line drawings, color; 19 Tables, black & white; 2 Tables, color |
| 725 |
Spatio-Temporal Models for Ecologists
GBP 81.99
Kattintson ide a feliratkozáshoz
A Prosperónál jelenleg nincsen raktáron.
This book introduces a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics.
Ecological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists.
Key Features:
- Foundational ecological principles and analyses
- Thoughtful and thorough ecological examples
- Analyses conducted using a minimal toolbox and fast computation
- Code using R and TMB included in the book and available online
Part 1: Introductory 1. Statistical models for individual-based processes 2. Hierarchical models and Laplace approximation Part 2: Basic 3. Population dynamics and state-space models 4. Individual movement 5. Spatial models 6. Spatial sampling designs and analysis 7. Covariates affecting densities and detectability Part 3: Advanced 8. Spatio-temporal models with seasonal or multi-year dynamics 9. Ecological teleconnections 10. Population movement and habitat selection 11. Multispecies models for community diversity and biogeography 12. A decadal forecast for spatio-temporal models A. Acknowledgements B. Appendices
