Computational Methods and GIS Applications in Social Science - Lab Manual

ISBN-13: 9781032302430 / Miękka / 2023 / 265 str.

USA) Wang Baton Rouge Fahui (Louisiana State University

Opis

This lab manual is a companion to the third edition of the textbook Computational Methods and GIS Applications in Social Sciences. It uses an open-source platform, KNIME, to illustrate a step-by-step implementation of each case study in the book. Could also be used as a GIS automation reference for advanced users in spatial analysis.

Spis treści

1. Getting Started with KNIME and Its Geospatial Analytics Extension. 2. Measuring Distance and Time and Analyzing Distance Decay Behavior. 3. Spatial Smoothing and Spatial Interpolation. 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. 10. System of Linear Equations and Application of 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.

O autorze

Lingbo Liu is a 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.

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.