Statistical Models for Wildlife Survey Data

Anglický jazyk

Statistical Models for Wildlife Survey Data

Predpokladaný dátum vydania: 28.5.2026

84.14 €

bežná cena: 93.49 €

O knihe

This book is primarily a monograph, with a particularly practical approach for professionals in ecological modeling. It critically and comprehensively presents the most up-to-date statistical modeling work in the area - recommending statistical methods - and includes computational exercises associated with a suite of linked computer programs written in R and web computing material provided via download.

The authors compare both classical and Bayesian methods of inference, analyze British long-term data sets (acknowledged as the best in the world), and describe how widely methods may be applies (pre- and post-modification). They outline other sampling

schemes, varying by taxa and environment (e.g., rain forest versus farmland) and explain pitfalls to be avoided in the design of sampling schemes and in data analysis. Models include covariates: spatial and physical aspects, habitat, temperature, rainfall, and bestcovariate selection for a given problem. Use of GPS data is discussed as is construction of individual species spatial maps and how they change over time. The book also reviews emerging new technologies; for instance, remote sensing and drones and analysis challenges.

Critically and comprehensively presents the most up-to-date statistical modeling work in ecological modeling
Recommends specific statistical methodology
Chapter devoted to clear presentation of statistical essentials
Dedicated web site with a suite of linked computer programs written in R and computational exercises associated with th

e web computing material

Includes downloadable R packages: unmarked (using classical analysis) and Spartan (using Bayesian methods)

Stephen T. Buckland, PhD, is Professor of Statistics at the University of St. Andrews and Co-Director of the UK National Centre for Statistical Ecology with Byron Morgan. His research interests include modeling population dynamics, wildlife resource management, wildlife population assessment, distance sampling and biodiversity monitoring.

Byron J.T. Morgan, PhD, is Honorary Professorial Research Fellow at the University of Kent and Co-Director of th

e National Centre for Statistical Ecology with Stephen Buckland. His research interests are applied statistics, biometry, statistical ecology, stochastic models for molecular biology, parameter redundancy, applications of Bayesian methods and population dynamics.

Emily B. Dennis, PhD, is Senior Post-Doctoral Research Associate (PDRA) at the University of Bristol, having recently completed a position as PDRA and Honorary PDRA at the University of Kent. Her research interests include modeling species abundance, in particular butterflies and other insects.