UID:
almahu_9949568554302882
Format:
1 online resource (xxvi, 413 pages)
Edition:
Third edition.
ISBN:
9781003292302
,
1003292305
,
9781000923308
,
1000923304
,
9781000923261
,
1000923266
Content:
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 social science and includes numerous case studies with step-by-step instructions in ArcGIS Pro and open-source platform KNIME. Readers sharpen their GIS skills by applying GIS techniques in detecting crime hotspots, measuring accessibility of primary care physicians, forecasting the impact of hospital closures on local community, or siting the best locations for business. FEATURES Fully updated using the latest version of ArcGIS Pro and open-source platform KNIME Features two brand-new chapters on agent-based modeling and big data analytics Provides newly automated tools for regionalization, functional region delineation, accessibility measures, planning for maximum equality in accessibility, and agent-based crime simulation Includes many compelling examples and real-world case studies related to social science, urban planning, and public policy Provides a website for downloading data and programs for implementing all case studies included in the book and the KNIME lab manual Intended for students taking upper-level undergraduate and graduate-level courses in quantitative geography, spatial analysis, and GIS applications, as well as researchers and professionals in fields such as geography, city and regional planning, crime analysis, public health, and public administration.
Note:
Part I: GIS and Basic Spatial Analysis Tasks1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior3. Spatial Smoothing and Spatial InterpolationPart II: Basic Computational Methods and Applications4. Delineating Functional Regions and Application in Health Geography5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns7. Principal Components, Factor Analysis, and Cluster Analysis and Application in Social Area Analysis8. Spatial Statistics and Applications9. Regionalization Methods and Application in Analysis of Cancer DataPart III: Advanced Computational Methods and Applications10. System of Linear Equations and Application of the Garin⁰́₃Lowry Model in Simulating Urban Population and Employment Patterns11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations13. Agent-Based Model and Application in Crime Simulation14. Spatiotemporal Big Data Analytics and Applications in Urban Studies
Language:
English
DOI:
10.1201/9781003292302
URL:
https://www.taylorfrancis.com/books/9781003292302
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