Spatial Analysis: A Guide for Ecologists

Spatial Analysis: A Guide for Ecologists

Spatial Analysis: A Guide for Ecologists

Spatial Analysis: A Guide for Ecologists

eBook

$72.49  $96.00 Save 24% Current price is $72.49, Original price is $96. You Save 24%.

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers

LEND ME® See Details

Overview

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 explicitly into ecological theory, sampling design, experimental design and models. Statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar with what is available and how the techniques should be used correctly. This book gives an overview of the wide range of spatial statistics available to analyse ecological data, and provides advice and guidance for graduate students and practising researchers who are either about to embark on spatial analysis in ecological studies or who have started but are unsure how to proceed. Only a basic understanding of statistics is assumed and many schematic illustrations are given to complement or replace mathematical technicalities, making the book accessible to ecologists wishing to enter this important and fast-growing field for the first time.

Product Details

ISBN-13: 9781107085633
Publisher: Cambridge University Press
Publication date: 04/21/2005
Sold by: Barnes & Noble
Format: eBook
File size: 22 MB
Note: This product may take a few minutes to download.

About the Author

Marie-Josée Fortin is an Associate Professor in Spatial Ecology at the Department of Zoology, University of Toronto, Ontario, Canada.
Mark Dale is Professor in Plant Ecology at the Department of Biological Science, University of Alberta, Edmonton, Canada.

Table of Contents

Preface; 1. Introduction; 2. Spatial analysis for population data; 3. Spatial analysis for sample data; 4. Spatial partitioning of regions: patch and boundary; 5. Dealing with spatial autocorrelation; 6. Spatio-temporal analysis; 7. Closing comments and future directions; References; Index.
From the B&N Reads Blog

Customer Reviews