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Geographic Information Analysis 2nd Ed

Geographic Information Analysis 2nd Ed

The 2nd edition includes information on geovisualization, mapping, and the most recent developments in local statistics. 

Price: $125.00
Product Code/ISBN: 9780470288573
Year: 2011
Publisher: Wiley


Newly updated with developments and analysis currently trending in the geographic information systems environment, Geographic Information Analysis 2nd Edition is your one-stop-shop to the biggest events in spatial analysis.  The 2nd edition includes information on geovisualization, mapping, and the most recent developments in local statistics. 

Table of Contents

Preface

1. 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

2. 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

3. 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

4. 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

5. Point Pattern Analysis

Chapter Objectives
Introduction
Describing a Point Pattern
Assessing Point Patterns Statistically
Monte Carlo Testing
Conclusions
Chapter Review
References

6. 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

7. Area Objects and Spatial Autocorrelation

Chapter Objectives
Introduction: Area Objects Revisited
Types of Area Objects
Geometric Properties of Areas
Measuring Spatial Autocorrelation
An Example: Turberculosis in Auckland, 2001-2006.
Other Approaches
Chapter Review
References

8. Local Statistics

Chapter Objectives
Introduction: Think Geographically, Measure Locally
Defining the Local: Spatial Structure (Again)
An Example: The Getis-Ord G; and G; Statistics
Inference with Local Statistics
Other Local Statistics
Conclusions: Seeing the World Locally
Chapter Review
References

9. 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

10. 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

11. 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

12. 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

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