Spatial Analysis
A Guide for Ecologists
$96.00 USD
- Authors:
- Marie-Josée Fortin, University of Toronto
- Mark R. T. Dale, University of Alberta
- 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
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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.
Read more- 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
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×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.
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