Geographic Information Analysis

ISBN-10: 0470288574

ISBN-13: 9780470288573

Edition: 2nd 2010

List price: $125.00 Buy it from $77.77
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Description:

Geographic Information Analysis provides up-to-date coverage of the foundations of spatial data analysis through visualization and maps. Including online instructors manual with lab exercises, this book presents key spatial concepts, like point pattern, line objects and networks, area objects, and continuous fields, as well as a new chapter on local statistics, like Moran Scatterplot and Geographically Weighted Regression. This Second Edition serves as a clear, revised text with methods for analyzing geographical information and is essential for students and professionals in this field.
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Book details

List price: $125.00
Edition: 2nd
Copyright year: 2010
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/29/2010
Binding: Hardcover
Pages: 432
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.870
Language: English

Preface to the Second Edition
Acknowledgments
Preface to the First Edition
Geographic Information Analysis and Spatial Data
Chapter Objectives
Introduction
Spatial Data Types
Some Complications
Scales for Attribute Description
GIS and Spatial Data Manipulation
The Road Ahead
Chapter Review
References
The Pitfalls and Potential of Spatial Data
Chapter Objectives
Introduction
The Bad News: The Pitfalls of Spatial Data
The Good News: The Potential of Spatial Data
Chapter Review
References
Fundamentals-Mapping It Out
Chapter Objectives
Introduction: The Cartographic Tradition
Geovisualization and Analysis
The Graphic Variables of Jacques Bertin
New Graphic Variables
Issues in Geovisualization
Mapping and Exploring Points
Mapping and Exploring Areas
Mapping and Exploring Fields
The Spatialization of Nonspatial Data
Conclusion
Chapter Review
References
Fundamentals-Maps as Outcomes of Processes
Chapter Objectives
Introduction: Maps and Processes
Processes and the Patterns They Make
Predicting the Pattern Generated by a Process
More Definitions
Stochastic Processes in Lines, Areas, and Fields
Conclusions
Chapter Review
References
Point Pattern Analysis
Chapter Objectives
Introduction
Describing a Point Pattern
Assessing Point Patterns Statistically
Monte Carlo Testing
Conclusions
Chapter Review
References
Practical Point Pattern Analysis
Chapter Objectives
Introduction: Problems of Spatial Statistical Analysis
Alternatives to Classical Statistical Inference
Alternatives to IRP/CSR
Point Pattern Analysis in the Real World
Dealing with Inhomogeneity
Focused Approaches
Cluster Detection: Scan Statistics
Using Density and Distance: Proximity Polygons
A Note on Distance Matrices and Point Pattern Analysis
Chapter Review
References
Area Objects and Spatial Autocorrelation
Chapter Objectives
Introduction: Area Objects Revisited
Types of Area Objects
Geometric Properties of Areas
Measuring Spatial Autocorrelation
An Example: Tuberculosis in Auckland, 2001-2006
Other Approaches
Chapter Review
References
Local Statistics
Chapter Objectives
Introduction: Think Geographically, Measure Locally
Defining the Local: Spatial Structure (Again)
An Example: The Getis-Ord G<sub>i</sub> and G<sub>i<sub><sup>*</sup> Statistics
Inference with Local Statistics
Other Local Statistics
Conclusions: Seeing the World Locally
Chapter Review
References
Describing and Analyzing Fields
Chapter Objectives
Introduction: Scalar and Vector Fields Revisited
Modeling and Storing Field Data
Spatial Interpolation
Derived Measures on Surfaces
Map Algebra
Conclusions
Chapter Review
References
Knowing the Unknowable: The Statistics of Fields
Chapter Objectives
Introduction
Regression on Spatial Coordinates: Trend Surface Analysis
The Square Root Differences Cloud and the (Semi-) Variogram
A Statistical Approach to Interpolation: Kriging
Conclusions
Chapter Review
References
Putting Maps Together-Map Overlay
Chapter Objectives
Introduction
Boolean Map Overlay and Sieve Mapping
A General Model for Alternatives to Boolean Overlay
Indexed Overlay and Weighted Linear Combination
Weights of Evidence
Model-Driven Overlay Using Regression
Conclusions
Chapter Review
References
New Approaches to Spatial Analysis
Chapter Objectives
The Changing Technological Environment
The Changing Scientific Environment
Geocomputation
Spatial Models
The Grid and the Cloud: Supercomputing for Dummies
Conclusions: Neogeographic Information Analysis?
Chapter Review
References
Notation, Matrices, and Matrix Mathematics
Introduction
Some Preliminary Notes on Notation
Matrix Basics and Notation
Simple Matrix Mathematics
Solving Simultaneous Equations Using Matrices
Matrices, Vectors, and Geometry
Eigenvectors and Eigenvalues
Reference
Index
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