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Animal Movement : Statistical Models for Telemetry Data by Devin S. Johnson, Juan M. Morales, Brett T. McClintock and Mevin B. Hooten (2017, Hardcover)
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About this product
Product Identifiers
PublisherCRC Press LLC
ISBN-101466582146
ISBN-139781466582149
eBay Product ID (ePID)237669497
Product Key Features
Number of Pages320 Pages
Publication NameAnimal Movement : Statistical Models for Telemetry Data
LanguageEnglish
Publication Year2017
SubjectBiotechnology, Earth Sciences / Geography, Probability & Statistics / General, General, Life Sciences / Zoology / Ethology (Animal Behavior), Ecology, Life Sciences / Zoology / General
TypeTextbook
AuthorDevin S. Johnson, Juan M. Morales, Brett T. Mcclintock, Mevin B. Hooten
Subject AreaMathematics, Nature, Science
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight26.6 Oz
Item Length9.5 in
Item Width6.2 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2016-034976
ReviewsName: Jason Matthiopoulos Source: Journal of Agricultural, Biological, and Environmental Statistics The authors have indulged themselves by presenting a selection of topics to great depth, but never sacrificing comprehensive coverage. This is, by far, the best available book on the analysis of animal movement: a deeply thoughtful and multifaceted presentation of difficult but necessary concepts and methods.
IllustratedYes
Table Of ContentChapter 1 Introduction Chapter 2 Statistics for Spatial Data Chapter 3 Statistics for Temporal Data Chapter 4 Point Process Models Chapter 5 Discrete-Time Models Chapter 6 Continuous-Time Models Chapter 7 Secondary Models and Inference
SynopsisThe study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The book serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. After an initial overview examining the role that animal movement plays in ecology, a primer on spatial and temporal statistics provides a solid foundation for the remainder of the book. Each subsequent chapter outlines a fundamental type of statistical model utilized in the contemporary analysis of telemetry data for animal movement inference. Descriptions begin with basic traditional forms and sequentially build up to general classes of models in each category. Important background and technical details for each class of model are provided, including spatial point process models, discrete-time dynamic models, and continuous-time stochastic process models. The book also covers the essential elements for how to accommodate multiple sources of uncertainty, such as location error and latent behavior states. In addition to thorough descriptions of animal movement models, differences and connections are also emphasized to provide a broader perspective of approaches., Animal Movement is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling.
LC Classification NumberQL751.65.M3A55 2017
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