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Quantitative Methods and Applications in GIS

• By Fahui Wang

• Price: $94.95
• Binding: Hardback
• Pages: 304
• Published by: CRC Press
• Publication Date: 3rd April 2006
• ISBN: 978-0-8493-2795-7

About the Book

Quantitative Methods and Applications in GIS integrates GIS, spatial analysis, and quantitative methods to address various issues in socioeconomic studies and public policy. Methods range from basic regression analysis to advanced topics such as linear programming and system of equations. Applications vary from typical themes in urban and regional analysis - trade area analysis, accessibility measures, analysis of regional growth patterns, land use simulation - to issues related to crime and health analyses.

The book covers common tasks such as distance and travel time estimation, spatial smoothing and interpolation, and accessibility measures. It also covers the major issues that are encountered in spatial analysis including modifiable areal unit problems, rate estimate of rare events in small populations, and spatial autocorrelation.

Each chapter has one subject theme, introduces the method (or a group of related methods) most relevant to the theme, and then uses case studies to implement the method in a GIS environment.

Table of Contents

Getting started with ArcGIS: Data management and basic spatial analysis tools. Measuring distances and time. Spatial smoothing and spatial interpolation. GIS-based trade area analysis and applications in business geography and regional planning. GIS-based measures of spatial accessibility and application in examining health care access. Function fittings by regressions and application in analyzing urban and regional density patterns. Principal components, factor, and cluster analyses, and application in social area analysis. Geographic approaches to analysis of rare events in small population and application in examining homicide patterns. Spatial cluster analysis, spatial regression, and applications in toponymical, cancer, and homicide studies. Linear programming and applications in examining wasteful commuting and allocating health care providers. Solving a system of linear equations and application in simulating urban structure.