Animal Movement: Statistical Models for Telemetry Data

Animal Movement: Statistical Models for Telemetry Data

Mevin B. Hooten , Devin S. Johnson , Brett T. McClintock
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2021 · 英語 · ペーパーバック
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説明

Animal movement is a fundamental aspect of ecological research, providing valuable insights into the behaviors and patterns of wildlife. This work delves into the statistical models utilized to analyze telemetry data, offering a comprehensive approach for ecologists and researchers dedicated to understanding animal dynamics.

The authors, seasoned experts in the field, present an in-depth examination of various statistical techniques tailored specifically for telemetry information. By integrating robust methods with real-world applications, they illustrate how advanced analytics can reveal critical aspects of animal behavior, habitat use, and the effects of environmental changes.

Readers are guided through complex methodologies with clarity, making the material accessible even to those who may be new to quantitative analysis. The book emphasizes the importance of rigorous statistical frameworks in unlocking the nuances of animal movement data.

Through a blend of theory and practical applications, this work serves as an indispensable resource for ecologists, wildlife biologists, and conservationists striving to enhance their understanding of animal movements in an ever-changing world.

本の詳細

形式 ペーパーバック
ページ数 320ページ
言語 英語
公開されました Jun 30, 2021
出版社 CRC Press
版 1
ISBN-10 1032097183
ISBN-13 9781032097183

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