Quantitative methods and socio-economic applications in GIS,. (2015)

• Record Type: Book
• Further Information: Note: Fahui Wang.
• Authors: Wang, Fahui, 1967-
• Contents: GIS AND BASIC SPATIAL ANALYSIS TASKS ; Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools ; Spatial and Attribute Data Management in ArcGIS; Spatial Analysis Tools in ArcGIS: Queries, Spatial Joins, and Map Overlays; Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana; Summary; Identifying Contiguous Polygons by Spatial Analysis Tools; Measuring Distance and Time ; Measures of Distance; Computing Network Distance and Time; The Distance Decay Rule; Case Study 2: Computing Distances and Travel Time to Public Hospitals in Louisiana; Summary; A: The Valued Graph Approach to the Shortest Route Problem; B: Estimating Travel Time Matrix by Google Maps API; Spatial Smoothing and Spatial Interpolation ; Spatial Smoothing; Point-Based Spatial Interpolation; Case Study 3A: Mapping Place Names in Guangxi, China; Area-Based Spatial Interpolation; Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana; Summary; A: Empirical Bayes Estimation for Spatial Smoothing; B: The Network Hierarchical Weighting Method for Areal Interpolation; BASIC QUANTITATIVE METHODS AND APPLICATIONS ; GIS-Based Trade Area Analysis and Application in Business Geography ; Basic Methods for Trade Area Analysis; Gravity Models for Delineating Trade Areas; Case Study 4A: Defining Fan Bases of Cubs and White Sox in Chicago Region; Case Study 4B: Estimating Trade Areas of Public Hospitals in Louisiana; Concluding Remarks; A: Economic Foundation of the Gravity Model; B: A Toolkit for Implementing the Huff Model; GIS-Based Measures of Spatial Accessibility and Application in Examining Health Care Access ; Issues on Accessibility; The Floating Catchment Area Methods; The Gravity-Based and Generalized 2SFCA Models; Case Study 5: Measuring Spatial Accessibility to Primary Care Physicians in Chicago Region; Concluding Comments; A: A Property of Accessibility Measures; B: A Toolkit of Automated Spatial Accessibility Measures; Function Fittings by Regressions and Application in Analyzing Urban Density Patterns ; The Density Function Approach to Urban and Regional Structures; Function Fittings for Monocentric Models; Nonlinear and Weighted Regressions in Function Fittings; Function Fittings for Polycentric Models; Case Study 6: Analyzing Urban Density Patterns in Chicago Urban Area; Discussions and Summary; A: Deriving Urban Density Functions; B: Centrality Measures and Association with Urban Densities; OLS Regression for a Linear Bivariate Model; Principal Components, Factor and Cluster Analyses, and Application in Social Area Analysis ; Principal Components Analysis; Factor Analysis; Cluster Analysis; Social Area Analysis; Case Study 7: Social Area Analysis in Beijing; Discussions and Summary; Discriminant Function Analysis; Spatial Statistics and Applications ; The Centrographic Measures; Case Study 8A: Measuring Geographic Distributions of Racial-Ethnic Groups in Chicago Urban Area; Spatial Cluster Analysis Based on Feature Locations; Case Study 8B: Spatial Cluster Analysis of Place Names in Guangxi, China; Spatial Cluster Analysis Based on Feature Values; Spatial Regression; Case Study 8C: Spatial Cluster and Regression Analyses of Homicide Patterns in Chicago; Summary; Spatial Filtering Methods for Regression Analysis; ADVANCED QUANTITATIVE METHODS AND APPLICATIONS ; Regionalization Methods and Application in Analysis of Cancer Data ; The Small Population Problem and Regionalization; The Spatial Order and the Modified Scale-Space Clustering (MSSC) Methods; The REDCAP Method; Case Study 9: Constructing Geographical Areas for Analysis of Late-Stage Breast Cancer Risks in the Chicago Region; Summary; A: The Poisson-Based Regression Analysis; B: A Toolkit of the Mixed-Level Regionalization Method; System of Linear Equations and Application of Garin-Lowry Model in Simulating Urban Population and Employment Patterns ; System of Linear Equations; The Garin-Lowry Model; Case Study 10: Simulating Population and Service Employment Distributions in a Hypothetical City; Discussion and Summary; A: The Input-Output Model; B: Solving a System of Nonlinear Equations; A Toolkit for Calibrating the Garin- Lowry Model; Cellular Automata (CA) for Urban Land Use Modeling; Linear Programming and Applications in Examining Wasteful Commuting and Allocating Health Care Providers ; Linear Programming and the Simplex Algorithm; Case Study 11A: Measuring Wasteful Commuting in Columbus, Ohio; Integer Programming and Location-Allocation Problems; Case Study 11B: Allocating Health Care Providers in Baton Rouge, Louisiana; SUMMARY; A: Hamilton’s Model on Wasteful Commuting; B: Coding Linear Programming in SAS; A Programming Approach to Minimal Disparity in Accessibility; Monte Carlo Method and Its Application in Urban Traffic Simulation ; Monte Carlo Simulation Method; Travel Demand Modeling; Examples of Monte Carlo-Based Spatial Simulation; Case Study 12: Monte Carlo-Based Traffic Simulation in Baton Rouge, Louisiana; Summary; References ;
• Edition: Second edition
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 910.285; Geographic information systems -- Mathematical models
• Languages: English
• ISBNs: 9781466584730
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.