All Shops
We're still open for business - read our Brexit and Covid-19 statements

British Wildlife

8 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 eight 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 £40 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

Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS

By: David WS Wong and Jay Lee
Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS
Click to have a closer look
  • Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS ISBN: 9780471468998 Hardback Nov 2005 Usually dispatched within 5 days
    £120.00
    #160268
Price: £120.00
About this book Contents Customer reviews Biography Related titles

About this book

Statistical Analysis and Modeling of Geographic Information with ArcView GIS is an update to Lee and Wong's Statistical Analysis with ArcView GIS, featuring expanded coverage of classical statistical methods, probability and statistical testing, new student exercises to facilitate classroom use, new exercises featuring interactive ArcView Avenue scripts, and a new overview of compatible spatial analytical functions in ArcGIS 9.0.

Contents

PREFACE.ACKNOWLEDGMENTS.1 INTRODUCTION.1.1 Why Statistics and Sampling?1.2 What Are Special about Spatial Data?1.3 Spatial Data and the Need for Spatial Analysis/ Statistics.1.4 Fundamentals of Spatial Analysis and Statistics.1.5 ArcView Notes-Data Model and Examples.PART I: CLASSICAL STATISTICS.2 DISTRIBUTION DESCRIPTORS: ONE VARIABLE (UNIVARIATE).2.1 Measures of Central Tendency.2.2 Measures of Dispersion.2.3 ArcView Examples.2.4 Higher Moment Statistics.2.5 ArcView Examples.2.6 Application Example.2.7 Summary.3 RELATIONSHIP DESCRIPTORS: TWO VARIABLES (BIVARIATE).3.1 Correlation Analysis.3.2 Correlation: Nominal Scale.3.3 Correlation: Ordinal Scale.3.4 Correlation: Interval /Ratio Scale.3.5 Trend Analysis.3.6 ArcView Notes.3.7 Application Examples.4 HYPOTHESIS TESTERS.4.1 Probability Concepts.4.2 Probability Functions.4.3 Central Limit Theorem and Confidence Intervals.4.4 Hypothesis Testing.4.5 Parametric Test Statistics.4.6 Difference in Means.4.7 Difference Between a Mean and a Fixed Value.4.8 Significance of Pearson's Correlation Coefficient.4.9 Significance of Regression Parameters.4.10 Testing Nonparametric Statistics.4.11 Summary.PART II: SPATIAL STATISTICS.5 POINT PATTERN DESCRIPTORS.5.1 The Nature of Point Features.5.2 Central Tendency of Point Distributions.5.3 Dispersion and Orientation of Point Distributions.5.4 ArcView Notes.5.5 Application Examples.6 POINT PATTERN ANALYZERS.6.1 Scale and Extent.6.2 Quadrat Analysis.6.3 Ordered Neighbor Analysis.6.4 K-Function.6.5 Spatial Autocorrelation of Points.6.6 Application Examples.7 LINE PATTERN ANALYZERS.7.1 The Nature of Linear Features: Vectors and Networks.7.2 Characteristics and Attributes of Linear Features.7.3 Directional Statistics.7.4 Network Analysis.7.5 Application Examples.8 POLYGON PATTERN ANALYZERS.8.1 Introduction.8.2 Spatial Relationships.8.3 Spatial Dependency.8.4 Spatial Weights Matrices.8.5 Spatial Autocorrelation Statistics and Notations.8.6 Joint Count Statistics.8.7 Spatial Autocorrelation Global Statistics.8.8 Local Spatial Autocorrelation Statistics.8.9 Moran Scatterplot.8.10 Bivariate Spatial Autocorrelation.8.11 Application Examples.8.12 Summary.APPENDIX: ArcGIS Spatial Statistics Tools.ABOUT THE CD-ROM.INDEX.

Customer Reviews

Biography

David W. S. Wong, PhD, is Professor and Chair of the Earth Systems and GeoInformation Sciences Program at George Mason University in Fairfax, Virginia. Jay Lee, PhD, is Professor and Chair of the Department of Geography at Kent State University in Kent, Ohio.

By: David WS Wong and Jay Lee
Current promotions
British WildlifeHarper Collins PublishersSeabirds The New Identification GuideOrder your free copy of our 2021 equipment catalogues