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Author:   Fahui Wang (Louisiana State University, Baton Rouge, USA) ,  Lingbo Liu
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Edition:   3rd edition
Weight:   0.810kg
ISBN:  

9781032273266

ISBN 10:   1032273267
Pages:   440
Publication Date:   14 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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 Garin–Lowry 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.

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Author Information

Fahui Wang is Associate Dean of the Pinkie Gordon Lane Graduate School and Cyril and Tutta Vetter Alumni Professor in the Department of Geography and Anthropology, Louisiana State University. He earned a BS in geography at Peking University, China, and an MA in economics and a PhD in city and regional planning at the Ohio State University. His research has revolved around the broad theme of spatially integrated computational social sciences, public policy, and planning in geographic information systems. He is among the top 1% most-cited researchers in geography in the world. Lingbo Liu is Postdoctoral Fellow at the Center for Geographic Analysis, Harvard University, leading the development of Geospatial Analytics Extension for KNIME. He was a lecturer at the Department of Urban Planning, School of Urban Design, Wuhan University, from 2005 to 2022, and earned a PhD in digital urban administration and planning at Wuhan University in 2018. His research uses multi-source data and quantitative models to capture the spatiotemporal features of urban systems and provides decision support for public policy, sustainable urban planning, and design.

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