Skip to content
Register Sign in Wishlist

Spatial Analysis
A Guide for Ecologists

$96.00 USD

  • Date Published: May 2005
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511110030

$ 96.00 USD
Adobe eBook Reader

You will be taken to ebooks.com for this purchase
Buy eBook Add to wishlist

Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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.

    • Assumes only a basic understanding of statistics
    • Introduces the wide range of statistical techniques available for the analysis of the spatial structure of ecological data
    • Provides schematic illustrations to complement or replace mathematical technicalities
    • Presents clearly the steps required to perform valid spatial analyses appropriate to the questions posed and the data gathered
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: May 2005
    • format: Adobe eBook Reader
    • isbn: 9780511110030
    • contains: 150 b/w illus. 20 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • 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.

  • Authors

    Marie-Josée Fortin, University of Toronto
    Marie-Josée Fortin is an Associate Professor in Spatial Ecology at the Department of Zoology, University of Toronto, Ontario, Canada.

    Mark R. T. Dale, University of Alberta
    Mark Dale is Professor in Plant Ecology at the Department of Biological Science, University of Alberta, Edmonton, Canada.

Related Books

also by this author

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×