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Detailed Contents
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Preface.
* Geographic Information Analysis and Spatial Data.
* The Pitfalls and Potential of Spatial Data.
* Fundamentals: Maps as Outcomes of Processes.
* Point Pattern Analysis.
* Practical Point Pattern Analysis.
* Lines and Networks.
* Area Objects and Spatial Autocorrelation.
* Describing and Analyzing Fields.
* Knowing the Unknowable: The Statistics of Fields.
* Putting Maps Together: Map Overlay.
* Multivariate Data, Multidimensional Space, and Spatialization.
* Chapter Objectives.
* New Approaches to Spatial Analysis.
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