Table of Contents

PART I. GIS AND BASIC SPATIAL ANALYSIS TASKS.Chapter 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools. Chapter 2. Measuring Distances and Time. Chapter 3. Spatial Smoothing and Spatial Interpolation. PART II. BASIC QUANTITATIVE METHODS AND APPLICATIONS. Chapter 4. GIS-Based Trade Area Analysis and Applications in Business Geography. Chapter 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Access. Chapter 6. Function Fittings by Regressions and Application in Analyzing Urban and Regional Density Patterns. Chapter 7. Principal Components, Factor Analysis and Cluster Analysis and Application in Social Area Analysis. PART III. ADVANCED QUANTITATIVE METHODS AND APPLICATIONS. Chapter 8. Geographic Approaches to the Small Population Problem and Application in Cancer Data Analysis. Chapter 9. Spatial Statistics Analysis and Applications in Toponymical and Crime Studies. Chapter 10. Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers. Chapter 10. Linear Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers. Chapter 12. The Cellular Automata Model and Application in Simulating Urban Growth. Chapter 12. The Cellular Automata Model and Application in Simulating Urban Growth. Reference. Index.

About the Author

Fahui Wang

Reviews

"The volume continues to provide a valuable steer towards the use of spatial computational techniques to address problems in different social policy contexts and one that includes material that could easily form the basis of applied spatial statistics modules at range of learning levels." - Gary Higgs, University of South Wales, Pontypridd