Quantitative Analyses in Wildlife Science edited by Leonard A. Brennan, Andrew N. Tri, and Bruce G. Marcot.

Format:

Book

Contributor:

Brennan, Leonard A. (Leonard Alfred), editor.

Series:

Wildlife management and conservation (Series)

Wildlife management and conservation

Language:

English

Subjects (All):

Population biology--Data processing.

Population biology.

Population biology--Mathematical models.

Genre:

Electronic books.

Physical Description:

1 online resource (345 pages).

Edition:

1st ed.

Manufacture:

Baltimore, Md. : Project MUSE, 2019

Place of Publication:

Baltimore : Johns Hopkins University Press, 2019.

Summary:

Williams, Damon L. Williford.

Contents:

Intro

Contents

List of Contributors

Foreword

Preface

Acknowledgments

1. Introduction

PART I. GENERAL STATISTICAL METHODS

2. Regression: Linear and Nonlinear, Parametric and Nonparametric

3. Multivariate Models and Analyses

4. Comparing Ecological Models

PART II. ESTIMATION OF ABUNDANCE AND DEMOGRAPHIC PARAMETERS

5. Estimation of Population Parameters Using Marked Animals

6. Distance Sampling

7. Occupancy Modeling Applications

PART III. DYNAMIC MODELING OF PROCESSES

8. Analysis of Population Monitoring Data

9. Systems Analysis and Simulation

10. Applications of Individual-Based Models

11. Detecting and Analyzing Density Dependence

PART IV. ANALYSIS OF SPATIALLY BASED DATA ON ANIMALS AND RESOURCES

12. Resource Selection Analysis

13. Spatial Statistics in Wildlife Research

PART V. NUMERICAL METHODS

14. Bayesian Analysis of Molecular Genetics Data

15. Machine Learning, Random Forests, and Boosted Regression Trees

16. Causal Modeling and the Role of Expert Knowledge

17. Summary and Synthesis: Looking to the Future

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-4214-3108-4

OCLC:

1107667272