TY  - BOOK
AU  - O'Sullivan,David
AU  - Unwin,D.
TI  - Geographic information analysis
SN  - 9780470288573
AV  - G70.212 .O88 2010
PY  - 2010///
CY  - Hoboken, N.J.
PB  - John Wiley & Sons
KW  - Geographic information systems
KW  - Spatial analysis (Statistics)
N1  - Includes bibliographical references and index; -- =505  00; -- Contents; 	Preface to the Second Edition	; 	Acknowledgments	; 	Preface to the First Edition	; 	1 Geographic Information Analysis and Spatial Data	; 	Chapter Objectives	; 	1.1 Introduction	; 	1.2 Spatial Data Types	; 	1.3 Some Complications	; 	1.4 Scales for Attribute Description	; 	1.5 GIS and Spatial Data Manipulation	; 	1.6 The Road Ahead	; 	Chapter Review	; 	References	; 	2 The Pitfalls and Potential of Spatial Data	; 	Chapter Objectives	; 	2.1 Introduction	; 	2.2 The Bad News: The Pitfalls of Spatial Data	; 	2.3 The Good News: The Potential of Spatial Data	; 	Chapter Review	; 	References	; 	3 Fundamentals-Mapping It Out	; 	Chapter Objectives	; 	3.1 Introduction: The Cartographic Tradition	; 	3.2 Geovisualization and Analysis	; 	3.3 The Graphic Variables of Jacques Bertin	; 	3.4 New Graphic Variables	; 	3.5 Issues in Geovisualization	; 	3.6 Mapping and Exploring Points	; 	3.7 Mapping and Exploring Areas	; 	3.8 Mapping and Exploring Fields	; 	3.9 The Spatialization of Nonspatial Data	; 	3.10 Conclusion	; 	Chapter Review	; 	References	; 	4 Fundamentals-Maps as Outcomes of Processes	; 	Chapter Objectives	; 	4.1 Introduction: Maps and Processes	; 	4.2 Processes and the Patterns They Make	; 	4.3 Predicting the Pattern Generated by a Process	; 	4.4 More Definitions	; 	4.5 Stochastic Processes in Lines, Areas, and Fields	; 	4.6 Conclusions	; 	Chapter Review	; 	References	; 	5 Point Pattern Analysis	; 	Chapter Objectives	; 	5.1 Introduction	; 	5.2 Describing a Point Pattern	; 	5.3 Assessing Point Patterns Statistically	; 	5.4 Monte Carlo Testing	; 	5.5 Conclusions	; 	Chapter Review	; 	References	; 	6 Practical Point Pattern Analysis	; 	Chapter Objectives	; 	6.1 Introduction: Problems of Spatial Statistical Analysis	; 	6.2 Alternatives to Classical Statistical Inference	; 	6.3 Alternatives to IRP/CSR	; 	6.4 Point Pattern Analysis in the Real World	; 	6.5 Dealing with Inhomogeneity	; 	6.6 Focused Approaches	; 	6.7 Cluster Detection: Scan Statistics	; 	6.8 Using Density and Distance: Proximity Polygons	; 	6.9 A Note on Distance Matrices and Point Pattern Analysis	; 	Chapter Review	; 	References	; 	7 Area Objects and Spatial Autocorrelation	; 	Chapter Objectives	; 	7.1 Introduction: Area Objects Revisited	; 	7.2 Types of Area Objects	; 	7.3 Geometric Properties of Areas	; 	7.4 Measuring Spatial Autocorrelation	; 	7.5 An Example: Tuberculosis in Auckland, 2001-2006	; 	7.6 Other Approaches	; 	Chapter Review	; 	References	; 	8 Local Statistics	; 	Chapter Objectives	; 	8.1 Introduction: Think Geographically, Measure Locally	; 	8.2 Defining the Local: Spatial Structure (Again)	; 	8.3 An Example: The Getis-Ord Gi and Gi Statistics	; 	8.4 Inference with Local Statistics	; 	8.5 Other Local Statistics	; 	8.6 Conclusions: Seeing the World Locally	; 	Chapter Review	; 	References	; 	9 Describing and Analyzing Fields	; 	Chapter Objectives	; 	9.1 Introduction: Scalar and Vector Fields Revisited	; 	9.2 Modeling and Storing Field Data	; 	9.3 Spatial Interpolation	; 	9.4 Derived Measures on Surfaces	; 	9.5 Map Algebra	; 	9.6 Conclusions	; 	Chapter Review	; 	References	; 	10 Knowing the Unknowable: The Statistics of Fields	; 	Chapter Objectives	; 	10.1 Introduction	; 	10.2 Regression on Spatial Coordinates: Trend Surface Analysis	; 	10.3 The Square Root Differences Cloud and the (Semi-) Variogram	; 	10.4 A Statistical Approach to Interpolation: Kriging	; 	10.5 Conclusions	; 	Chapter Review	; 	References	; 	11 Putting Maps Together—Map Overlay	; 	Chapter Objectives	; 	11.1 Introduction	; 	11.2 Boolean Map Overlay and Sieve Mapping	; 	11.3 A General Model for Alternatives to Boolean Overlay	; 	11.4 Indexed Overlay and Weighted Linear Combination	; 	11.5 Weights of Evidence	; 	11.6 Model-Driven Overlay Using Regression	; 	11.7 Conclusions	; 	Chapter Review	; 	References	; 	12 New Approaches to Spatial Analysis	; 	Chapter Objectives	; 	12.1 The Changing Technological Environment	; 	12.2 The Changing Scientific Environment	; 	12.3 Geocomputation	; 	12.4 Spatial Models	; 	12.5 The Grid and the Cloud: Supercomputing for Dummies	; 	12.6 Conclusions: Neogeographic Information Analysis?	; 	Chapter Review	; 	References	; 	Appendix A: Notation, Matrices, and Matrix Mathematics	; 	A.1 Introduction	; 	A.2 Some Preliminary Notes on Notation	; 	A.3 Matrix Basics and Notation	; 	A.4 Simple Matrix Mathematics	; 	A.5 Solving Simultaneous Equations Using Matrices	; 	A.6 Matrices, Vectors, and Geometry	; 	A.7 Eigenvectors and Eigenvalues	; 	Reference
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