The second edition of a bestseller, this book details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. Updated to include the most recent version of ArcGIS 10.1, the new edition also covers recent developments in GIS-for example, simulation of urban environment. Two new chapters highlight cellular automata-based simulation of urban growth and Monte Carlo simulation of urban traffic, each co-authored with leading experts in the respective fields. In addition, all discussion has been expanded to improve readability, particularly for students.…mehr
The second edition of a bestseller, this book details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. Updated to include the most recent version of ArcGIS 10.1, the new edition also covers recent developments in GIS-for example, simulation of urban environment. Two new chapters highlight cellular automata-based simulation of urban growth and Monte Carlo simulation of urban traffic, each co-authored with leading experts in the respective fields. In addition, all discussion has been expanded to improve readability, particularly for students.
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.
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.
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