Spatio-Temporal Models for Ecologists

Ecological dynamics are complex and studied at various spatial and temporal scales. This book introduces a minimal set of principles and numerical techniques for spatio-temporal statistics to implement real-world ecological analyses. It combines core spatial-analysis packages in R with low-level computation using Template Model Builder, showcasing techniques with real-world data from diverse ecological systems.

Format: Hardback
Length: 276 pages
Publication date: 27 February 2024
Publisher: Taylor & Francis Ltd

Ecological dynamics are intricate and multifaceted, requiring comprehensive study across various spatial and temporal scales. Ecologists often streamline analysis by focusing on changes in the density of individuals across a landscape, and statistical methodologies are rapidly advancing to unravel spatio-temporal dynamics. However, the presentation of spatio-temporal statistics often adheres to principles that may seem distant from ecological theory or practice. This book aims to introduce a concise set of principles and numerical techniques for spatio-temporal statistics that can be employed to conduct diverse real-world ecological analyses related to animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that seamlessly integrate core spatial analysis packages in R with low-level computation using Template Model Builder. These techniques are showcased using real-world data from diverse ecological systems, offering a powerful toolset for hierarchical modeling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is designed for advanced graduate students, as well as applied and academic ecologists. Key Features: A solid foundation in ecological principles and analyses Thoughtful and detailed ecological examples Analyses conducted using a minimal toolbox and efficient computation Code in R and TMB included in the book and accessible online

Weight: 700g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032531014