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Preface | |
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Geographic Information Analysis and Spatial Data | |
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Chapter Objectives | |
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Introduction | |
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Spatial Data Types | |
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Scales for Attribute Description | |
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GIS Analysis, Spatial Data Manipulation, and Spatial Analysis | |
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Conclusion | |
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Chapter Review | |
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References | |
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The Pitfalls and Potential of Spatial Data | |
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Chapter Objectives | |
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Introduction | |
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The Bad News: The Pitfalls of Spatial Data | |
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The Good News: The Potential of Spatial Data | |
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Preview: The Variogram Cloud and the Semivariogram | |
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Chapter Review | |
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References | |
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Fundamentals: Maps as Outcomes of Processes | |
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Chapter Objectives | |
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Introduction | |
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Processes and the Patterns They Make | |
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Predicting the Pattern Generated by a Process | |
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More Definitions | |
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Stochastic Processes in Lines, Areas, and Fields | |
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Conclusion | |
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Chapter Review | |
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References | |
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Point Pattern Analysis | |
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Chapter Objectives | |
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Introduction | |
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Describing a Point Pattern | |
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Density-Based Point Pattern Measures | |
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Distance-Based Point Pattern Measures | |
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Assessing Point Patterns Statistically | |
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Two Critiques of Spatial Statistical Analysis | |
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Conclusion | |
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Chapter Review | |
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References | |
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Practical Point Pattern Analysis | |
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Chapter Objectives | |
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Point Pattern Analysis versus Cluster Detection | |
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Extensions of Basic Point Pattern Measures | |
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Using Density and Distance: Proximity Polygons | |
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Note on Distance Matrices and Point Pattern Analysis | |
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Conclusion | |
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Chapter Review | |
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References | |
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Lines and Networks | |
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Chapter Objectives | |
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Introduction | |
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Representing and Storing Linear Entities | |
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Line Length: More Than Meets the Eye | |
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Connection in Line Data: Trees and Graphs | |
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Statistical Analysis of Geographical Line Data | |
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Conclusion | |
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Chapter Review | |
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References | |
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Area Objects and Spatial Autocorrelation | |
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Chapter Objectives | |
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Introduction | |
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Types of Area Object | |
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Geometric Properties of Areas | |
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Spatial Autocorrelation: Introducing the Joins Count Approach | |
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Fully Worked Example: The 2000 U.S. Presidential Election | |
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Other Measures of Spatial Autocorrelation | |
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Local Indicators of Spatial Association | |
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Chapter Review | |
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References | |
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Describing and Analyzing Fields | |
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Chapter Objectives | |
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Introduction | |
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Modeling and Storing Field Data | |
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Spatial Interpolation | |
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Derived Measures on Surfaces | |
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Conclusion | |
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Chapter Review | |
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References | |
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Knowing the Unknowable: The Statistics of Fields | |
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Chapter Objectives | |
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Introduction | |
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Review of Regression | |
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Regression on Spatial Coordinates: Trend Surface Analysis | |
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Statistical Approach to Interpolation: Kriging | |
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Conclusion | |
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Chapter Review | |
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References | |
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Putting Maps Together: Map Overlay | |
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Chapter Objectives | |
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Introduction | |
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Polygon Overlay and Sieve Mapping | |
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Problems in Simple Boolean Polygon Overlay | |
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Toward a General Model: Alternatives to Boolean Overlay | |
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Conclusion | |
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Chapter Review | |
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References | |
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Multivariate Data, Multidimensional Space, and Spatialization | |
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Chapter Objectives | |
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Introduction | |
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Multivariate Data and Multidimensional Space | |
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Distance, Difference, and Similarity | |
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Cluster Analysis: Identifying Groups of Similar Observations | |
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Spatialization: Mapping Multivariate Data | |
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Reducing the Number of Variables: Principal Components Analysis | |
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Conclusion | |
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Chapter Review | |
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References | |
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New Approaches to Spatial Analysis | |
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Chapter Objectives | |
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Introduction | |
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Geocomputation | |
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Spatial Models | |
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Conclusion | |
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Chapter Review | |
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References | |
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The Elements of Statistics | |
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Introduction | |
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Describing Data | |
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Probability Theory | |
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Processes and Random Variables | |
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Sampling Distributions and Hypothesis Testing | |
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Example | |
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Reference | |
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Matrices and Matrix Mathematics | |
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Introduction | |
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Matrix Basics and Notation | |
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Simple Mathematics | |
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Solving Simultaneous Equations Using Matrices | |
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Matrices, Vectors, and Geometry | |
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Reference | |
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Index | |