All Shops

Go to British Wildlife

6 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published six times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £25 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £18 per year
Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Hierarchical Modelling for the Environmental Sciences Statistical methods and applications

Handbook / Manual
Edited By: James S Clark and Alan Gelfand
205 pages, 73 line figures
Hierarchical Modelling for the Environmental Sciences
Click to have a closer look
Select version
  • Hierarchical Modelling for the Environmental Sciences ISBN: 9780198569671 Paperback May 2006 Usually dispatched within 2-3 weeks
    £68.99
    #156250
  • Hierarchical Modelling for the Environmental Sciences ISBN: 9780198569664 Hardback May 2006 Out of Print #156251
Selected version: £68.99
About this book Contents Customer reviews Related titles

About this book

New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental challenges.

* Jointly edited by a leading ecologist and statistician, with contributions from recognized experts in the field
* Introduces environmental scientists to modern statistical computation techniques
* Provides a non-technical overview of hierarchical Bayes and Markov Chain Monte Carlo methods for analysis of environmental data
* Includes chapters demonstrating the application of methods to a range of environmental challenges

The book is targeted primarily at graduate level students in the environmental sciences, particularly ecology. It will also be useful to professional researchers at the interfaces of biology, mathematics and statistics.

Contents

Preface; PART I. INTRODUCTION TO HIERARCHICAL MODELING; 1. Elements of hierarchical Bayesian influence; 2. Bayesian hierarchical models in geographical genetics; PART II. HIERARCHICAL MODELS IN EXPERIMENTAL SETTINGS; 3. Synthesizing ecological experiments and observational data with hierarchical Bayes; 4. Effects of global change on inflorescence production: a Bayesian hierarchical analysis; PART III. SPATIAL MODELING; 5. Building statistical models to analyse species distributions; 6. Implications of vulnerability to hurricane damage for long-term survival of tropical tree species: a Bayesian hierarchical analysis; PART IV. SPATIO-TEMPORAL MODELING; 7. Spatial temporal statistical modeling and prediction of environmental processes; 8. Hierarchical Bayesian spatio-temporal models for population spread; 9. Spatial models for the distribution of extremes; References; Index

Customer Reviews

Handbook / Manual
Edited By: James S Clark and Alan Gelfand
205 pages, 73 line figures
Media reviews

'...if you are already quite well acquainted with Bayesian concepts and terminology then this book should provide an excellent guide to the application of these advanced statistical techniques within ecology.' Justin Travis, Bulletin of the British Ecological Society 2007 38:1

Current promotions
Best of Winter 2018Harper CollinsOrder your free copy of our 2018 equipment catalogueBritish Wildlife