Practical Handbook of Spatial Statistics [Hardcover]

The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques. You will learn how to apply proper spatial analysis techniques and why they are generally different from conventional statistical analyses. Clear and concise information on weighting, aggregation effects, sampling, spatial statistics and GIS, and visualization of spatial dependence is provided. Discussions on specific applications using actual data sets fill obvious gaps in the literature, and coverage of critical research frontiers allows readers to explore current areas of active research.Introduction: The Need for Spatial Statistics, D.A. Griffith
Components of Geographic Information and Analysis
Background: The Importance of Locational Information
Background: Statistical Estimator Properties
Organization of the Book
Summary
References
Visualization of Spatial Dependence: An Elementary View of Spatial Autocorrelation, I.R. Vasiliev
Editorial Note
Introduction
The Spatial Mean and Other Basic Concepts
Spatial Autocorrelation
Map Complexity
Map Representations of Changes in Space and Time
Summary: Rules-of-Thumb for Spatial Autocorrelation
References
Spatial Sampling, S.V. Stehman and W.S. Overton
Introduction
Spatial Universes and Populations
Sampling Fundamentals
Sampling a Continuous Universe
Sampling Spatially Distributed Objects via Areal Samples of the Continuous Universe
Inference in Spatial Sampling
Applications of Spatial Sampling
Empirical Evaluation of Sampling Strategies
Summary
References
Some Guidelines for Specifying the Geopraphic Weights Matrix Contained in Spatial Statistical Models, D.A. Griffith
Introduction
Background
Evaluation Criteria
Rules-of-Thumb Implications
References
Aggregation Effects in Geo-Referenced l#,