Wang, Fahui

Quantitative methods and socio-economic applications in GIS - 2nd - Florida CRC Press 2015 - xxxi, 301p. With index

Table of Contents

1 Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools
2 Measuring Distance and Time
3 Spatial Smoothing and Spatial Interpolation

4 GIS-Based Trade Area Analysis and Application in Business Geography
5 GIS-Based Measures of Spatial Accessibility and Application in Examining Health Care Access
6 Function Fittings by Regressions and Application in Analyzing Urban Density Patterns
7 Principal Components, Factor and Cluster Analyses, 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 Programming and Applications in Examining Wasteful Commuting and Allocating Health Care Providers
12 Monte Carlo Method and Its Application in Urban Traffic Simulation

The second edition of a bestseller, Quantitative Methods and Socio-Economic Applications in GIS (previously titled Quantitative Methods and Applications in GIS) details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance the studies related to socio-economic issues and public policy. See What’s New in the Second Edition:
All project instructions are in ArcGIS 10.2 using geodatabase datasets
New chapters on regionalization methods and Monte Carlo simulation
Popular tasks automated as a convenient toolkit: Huff Model, 2SFCA accessibility measure, regionalization, Garin-Lowry model, and Monte Carlo based spatial simulation
Advanced tasks now implemented in user-friendly programs or ArcGIS: centrality indices, wasteful commuting measure, p-median problem, and traffic simulation
Each chapter has one subject theme and introduces the method (or a group of related methods) most relevant to the theme. While each method is illustrated in a special case of application, it can also be used to analyze different issues. For example, spatial regression is used to examine the relationship between job access and homicide patterns; systems of linear equations are analyzed to predict urban land use patterns; linear programming is introduced to solve the problem of wasteful commuting and allocate healthcare facilities; and Monte Carlo technique is illustrated in simulating urban traffic. The book illustrates the range of computational methods and covers common tasks and major issues encountered in a spatial environment. It provides a platform for learning technical skills and quantitative methods in the context of addressing real-world problems, giving you instant access to the tools to resolve major socio-economic issues.


Remote sensing
Geographic information systems
GIS - Mathematical models

910.285 / W2Q8

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