Computational Methods and GIS Applications in Social Science [Hardcover]

Integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial social science and includes new examples and case studies with step-by-step instructions in ArcGIS Pro.

Part I: GIS and Basic Spatial Analysis Tasks. 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools. 2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior. 3. Spatial Smoothing and Spatial Interpolation. Part II: Basic Computational Methods and Applications. 4. Delineating Functional Regions and Application in Health Geography. 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity. 6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns. 7. Principal Components, Factor Analysis, and Cluster Analysis and Application in Social Area Analysis. 8. Spatial Statistics and Applications. 9. Regionalization Methods and Application in Analysis of Cancer Data. Part III: Advanced Computational Methods and Applications. 10. System of Linear Equations and Application of the GarinLowry Model in Simulating Urban Population and Employment Patterns. 11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers. 12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations. 13. Agent-Based Model and Application in Crime Simulation. 14. Spatiotemporal Big Data Analytics and Applications in Urban Studies.

This textbook integrates GIS, spatial analysis, and computational methods for solving real-world problems in various policy-relevant social science applications. Thoroughly updated, the third edition showcases the best practices of computational spatial slӎ