
- 294 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Spatio-Temporal Models for Ecologists
About this book
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
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Information
Table of contents
- Cover Page
- Half-Title Page
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- List of Figures
- List of Tables
- I Introductory
- II Basic
- III Advanced
- A Acknowledgments
- B Appendices
- Bibliography
- Index
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