Advanced Distance Sampling

Estimating Abundance of Biological Populations

Edited by ST Buckland, DR Anderson, KP Burnham, JL Laake, DL Borchers and L Thomas

This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies ....

Analysing Ecological Data

Alain F Zuur, Elena N Ieno and Graham M Smith

Provides a practical introduction to analysing ecological data using real data sets collected as part of postgraduate ecological studies or research projects. ....

Applied Spatial Data Analysis with R

Roger S Bivand, Edzer J Pebesma and Virgilio Gomez-Rubio

Applied Spatial Data Analysis with R is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This ....

The Atlas of the Real World

Mapping the Way We Live

Daniel Dorling and Mark Newman

Here is our planet as you've never seen it before: 366 digitally modified maps - known as cartograms - depict the areas and countries of the world not by their physical size, ....

Bayesian Methods for Data Analysis

Bradley P Carlin and Thomas A Louis

The third edition of "Bayesian Methods for Data Analysis" has been updated to provide a more accessible introduction to the foundations of Bayesian analysis along with a ....

Bayesian Methods for Ecology

Michael A McCarthy

The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using ....

A Biologist's Guide to Mathematical Modeling in Ecology and Evolution

Sarah P Otto and Troy Day

Thirty years ago, biologists could get by with a rudimentary grasp of mathematics and modeling. Not so today. In seeking to answer fundamental questions about how biological ....

Biometry

Robert Sokal

This easily understood but rigorous introduction to biological statistics is a standard text and valuable reference for anyone doing scientific research. The fourth edition has ....

Choosing and Using Statistics

A Biologist's Guide

Calvin Dytham

A handbook for biologists who want to process their data through a statistical package on the computer, to select the most appropriate methods, and extract the important ....

Data Manipulation with R

Phil Spector

Since its inception, R has become one of the preeminent programs for statistical computing and data analysis. The ready availability of the program, along with a wide ....

Ecological Census Techniques

A Handbook

Edited by William J Sutherland

The revised second edition of this bestselling text is still an invaluable aid for all those involved in field ecology and conservation. ....

Ecological Modeling

A Commonsense Approach to Theory and Practice

William E Grant and Todd M Swannack

In addition to providing a common-sense introduction to the basic principles of systems modeling, the authors suggest a practical strategy for dealing with pitfalls commonly ....

Experimental Design and Data Analysis for Biologists

Gerry P Quinn and Michael J Keough

Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), ....

Field and Laboratory Methods in Primatology

A Practical Guide

Edited by Joanna M Setchell et al

This book covers everything from trip planning, ethics and health issues to practical details of how to find, habituate and study primates in the wild. ....

A First Course in Statistical Programming with R

W John Braun and Duncan J Murdoch

This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own ....

Fundamentals of Geographical Information Systems

Michael N DeMers

Offering a completely up to date introduction to the field, the Fourth Edition presents the basic concepts and skills that readers need to know in order to solve everyday ....

Hierarchical Modeling and Inference in Ecology

The Analysis of Data from Populations, Metapopulations and Communities

J Andrew Royle and Robert M Dorazio

The hierarchical modelling framework represents a powerful and flexible framework for modelling and inference about ecological processes. It admits an explicit and formal ....

An Introduction to Generalized Linear Models

Annette J Dobson and Adrian G Barnett

Popular for its accessible, concise, and clear introduction to this key statistical methodology, An Introduction to Generalized Linear Models, Third Edition provides a ....

Introduction to Probability With R

Kenneth Baclawski

Based on the popular probability course by Gian-Carlo Rota of MIT, Probability and Random Processes with R provides a calculus-based introduction to probability. The text ....

A Manual for Wildlife Radio Tagging

RE Kenward

Biologists use animal radio tags for two main purposes: to locate and study animals in the field, and to transmit information about the physiology or behaviour of wild or ....

Modelling for Field Biologists

and Other Interesting People

Hanna Kokko

Students of evolutionary and behavioural ecology are often unfamiliar with mathematical techniques, though much of biology relies on mathematics. Evolutionary ideas are often ....

Models for Ecological Data

An Introduction

James S Clark

The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental ....

Multivariate Analysis of Ecological Data using CANOCO

Jan Leps and Petr Smilauer

Particularly useful for students and researchers dealing with complex ecological problems, such as the variation of biotic communities with environmental conditions or ....

Phylogenetic Trees Made Easy

A How-To Manual

Barry G Hall

The Third Edition helps the reader get started in creating phylogenetic trees from protein or nucleic acid sequence data. Although aimed at molecular and cell biologists, ....

Practical Statistics for Field Biology

Jim Fowler, Lou Cohen and Phil Jarvis

This book acknowledges the peculiarities of field-based data and its interpretation, and aims to provide biologists with sufficient grounding in statistical principles and ....

A Primer on Linear Models

John F Monahan

Since the linear model forms the groundwork for most applied statistics, a course on the theory of the linear model is often required in most graduate statistics programs. A ....

The R Book

Michael J Crawley

The R language is recognized as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that ....

Radio Tracking and Animal Populations

Edited by Millspaugh and Marzluff

Succinct synthesis of emerging technologies and their application to the empirical and theoretical problems of animal population assessment. The book is divided into sections ....

Spatial Analysis

A Guide for Ecologists

Marie-Josee Fortin and Mark Dale

The spatial and temporal dimensions of ecological phenomena have always been inherent in the conceptual framework of ecology, but only recently have they been incorporated ....

Statistical Data Analysis Explained

Applied Environmental Statistics with R

Clemens Reimann, Peter Filzmoser, Robert F Garrett and Rudolf Dutter

Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial ....

Statistics for Terrified Biologists

Helmut Van Emden

This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, "Statistics for Terrified Biologists" ....

Wildlife Study Design

ML Morrison, WM Block, MD Strickland, BA Collier and MJ Peterson

After the success of the first edition, Wildlife Study Design returns with a second edition showcasing a substantial body of new material applicable to the study design of ....