| 000 | 05508nam a2200301 i 4500 | ||
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| 008 | 150130s2010 njumb b a001 0 eng d | ||
| 010 | _a2009042594 | ||
| 020 |
_a9780470288573 _qcloth |
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_a0470288574 _qcloth |
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_aDLC _cDLC _dYDX _dBTCTA _dUKM _dYDXCP _dCDX _dBAUN _beng _erda |
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| 049 | _aBAUN_MERKEZ | ||
| 050 | 0 | 0 |
_aG70.212 _b.O88 2010 |
| 082 | 0 | 0 | _222 |
| 100 | 1 |
_aO'Sullivan, David, _d1966- |
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| 245 | 1 | 0 |
_aGeographic information analysis / _cDavid O'Sullivan and David J. Unwin. |
| 250 | _a2nd edition. | ||
| 264 | 1 |
_aHoboken, N.J. : _bJohn Wiley & Sons, _cc2010. |
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| 300 |
_axix, 405 pages : _billustrations maps ; _c25 cm. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_aunmediated _bn _2rdamedia |
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| 338 |
_avolume _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | 0 |
_t-- =505 00 _t-- Contents _t Preface to the Second Edition _t Acknowledgments _t Preface to the First Edition _t 1 Geographic Information Analysis and Spatial Data _t Chapter Objectives _t 1.1 Introduction _t 1.2 Spatial Data Types _t 1.3 Some Complications _t 1.4 Scales for Attribute Description _t 1.5 GIS and Spatial Data Manipulation _t 1.6 The Road Ahead _t Chapter Review _t References _t 2 The Pitfalls and Potential of Spatial Data _t Chapter Objectives _t 2.1 Introduction _t 2.2 The Bad News: The Pitfalls of Spatial Data _t 2.3 The Good News: The Potential of Spatial Data _t Chapter Review _t References _t 3 Fundamentals-Mapping It Out _t Chapter Objectives _t 3.1 Introduction: The Cartographic Tradition _t 3.2 Geovisualization and Analysis _t 3.3 The Graphic Variables of Jacques Bertin _t 3.4 New Graphic Variables _t 3.5 Issues in Geovisualization _t 3.6 Mapping and Exploring Points _t 3.7 Mapping and Exploring Areas _t 3.8 Mapping and Exploring Fields _t 3.9 The Spatialization of Nonspatial Data _t 3.10 Conclusion _t Chapter Review _t References _t 4 Fundamentals-Maps as Outcomes of Processes _t Chapter Objectives _t 4.1 Introduction: Maps and Processes _t 4.2 Processes and the Patterns They Make _t 4.3 Predicting the Pattern Generated by a Process _t 4.4 More Definitions _t 4.5 Stochastic Processes in Lines, Areas, and Fields _t 4.6 Conclusions _t Chapter Review _t References _t 5 Point Pattern Analysis _t Chapter Objectives _t 5.1 Introduction _t 5.2 Describing a Point Pattern _t 5.3 Assessing Point Patterns Statistically _t 5.4 Monte Carlo Testing _t 5.5 Conclusions _t Chapter Review _t References _t 6 Practical Point Pattern Analysis _t Chapter Objectives _t 6.1 Introduction: Problems of Spatial Statistical Analysis _t 6.2 Alternatives to Classical Statistical Inference _t 6.3 Alternatives to IRP/CSR _t 6.4 Point Pattern Analysis in the Real World _t 6.5 Dealing with Inhomogeneity _t 6.6 Focused Approaches _t 6.7 Cluster Detection: Scan Statistics _t 6.8 Using Density and Distance: Proximity Polygons _t 6.9 A Note on Distance Matrices and Point Pattern Analysis _t Chapter Review _t References _t 7 Area Objects and Spatial Autocorrelation _t Chapter Objectives _t 7.1 Introduction: Area Objects Revisited _t 7.2 Types of Area Objects _t 7.3 Geometric Properties of Areas _t 7.4 Measuring Spatial Autocorrelation _t 7.5 An Example: Tuberculosis in Auckland, 2001-2006 _t 7.6 Other Approaches _t Chapter Review _t References _t 8 Local Statistics _t Chapter Objectives _t 8.1 Introduction: Think Geographically, Measure Locally _t 8.2 Defining the Local: Spatial Structure (Again) _t 8.3 An Example: The Getis-Ord Gi and Gi Statistics _t 8.4 Inference with Local Statistics _t 8.5 Other Local Statistics _t 8.6 Conclusions: Seeing the World Locally _t Chapter Review _t References _t 9 Describing and Analyzing Fields _t Chapter Objectives _t 9.1 Introduction: Scalar and Vector Fields Revisited _t 9.2 Modeling and Storing Field Data _t 9.3 Spatial Interpolation _t 9.4 Derived Measures on Surfaces _t 9.5 Map Algebra _t 9.6 Conclusions _t Chapter Review _t References _t 10 Knowing the Unknowable: The Statistics of Fields _t Chapter Objectives _t 10.1 Introduction _t 10.2 Regression on Spatial Coordinates: Trend Surface Analysis _t 10.3 The Square Root Differences Cloud and the (Semi-) Variogram _t 10.4 A Statistical Approach to Interpolation: Kriging _t 10.5 Conclusions _t Chapter Review _t References _t 11 Putting Maps Together—Map Overlay _t Chapter Objectives _t 11.1 Introduction _t 11.2 Boolean Map Overlay and Sieve Mapping _t 11.3 A General Model for Alternatives to Boolean Overlay _t 11.4 Indexed Overlay and Weighted Linear Combination _t 11.5 Weights of Evidence _t 11.6 Model-Driven Overlay Using Regression _t 11.7 Conclusions _t Chapter Review _t References _t 12 New Approaches to Spatial Analysis _t Chapter Objectives _t 12.1 The Changing Technological Environment _t 12.2 The Changing Scientific Environment _t 12.3 Geocomputation _t 12.4 Spatial Models _t 12.5 The Grid and the Cloud: Supercomputing for Dummies _t 12.6 Conclusions: Neogeographic Information Analysis? _t Chapter Review _t References _t Appendix A: Notation, Matrices, and Matrix Mathematics _t A.1 Introduction _t A.2 Some Preliminary Notes on Notation _t A.3 Matrix Basics and Notation _t A.4 Simple Matrix Mathematics _t A.5 Solving Simultaneous Equations Using Matrices _t A.6 Matrices, Vectors, and Geometry _t A.7 Eigenvectors and Eigenvalues _t Reference |
| 650 | 0 | _aGeographic information systems. | |
| 650 | 0 | _aSpatial analysis (Statistics) | |
| 700 | 1 |
_aUnwin, D. _q(David John) |
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| 942 |
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