Quantitative Methods and Applications in GIS
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. Applicati...
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CRC Press
2009
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1158 |
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Thư viện Trường Đại học Đà Lạt |
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English |
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Environmental Sciences |
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Environmental Sciences Atkinson, Peter Chang, Kang-Tsung Dale, Peter Quantitative Methods and Applications in GIS |
| description |
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. |
| format |
Book |
| author |
Atkinson, Peter Chang, Kang-Tsung Dale, Peter |
| author_facet |
Atkinson, Peter Chang, Kang-Tsung Dale, Peter |
| author_sort |
Atkinson, Peter |
| title |
Quantitative Methods and Applications in GIS |
| title_short |
Quantitative Methods and Applications in GIS |
| title_full |
Quantitative Methods and Applications in GIS |
| title_fullStr |
Quantitative Methods and Applications in GIS |
| title_full_unstemmed |
Quantitative Methods and Applications in GIS |
| title_sort |
quantitative methods and applications in gis |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1158 |
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1819829559568105472 |
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oai:scholar.dlu.edu.vn:DLU123456789-11582009-10-13T01:36:11Z Quantitative Methods and Applications in GIS Atkinson, Peter Chang, Kang-Tsung Dale, Peter Environmental Sciences 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. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools Spatial and Attribute Data Management in ArcGIS Case Study 1A: Mapping Population Density Pattern in Cuyahoga County, Ohio Spatial Analysis Tools in ArcGIS: Queries, Spatial Joins and Map Overlays Case Study 1B: Extracting Census Tracts in City of Cleveland and Analyzing Polygon Adjacency Summary Appendix 1. Importing and Exporting ASCII Files in ArcGIS Measuring Distances and Time Measures of Distance Computing Network Distance and Time Case Study 2: Measuring Distances between Counties and Major Cities in Northeast China Summary Appendix 2. The Valued Graph Approach to the Shortest-Route Problem Spatial Smoothing and Spatial Interpolation Spatial Smoothing Case Study 3A: Analyzing Tai Place-Names in Southern China by Spatial Smoothing Point-Based Spatial Interpolation Case Study 3B: Surface Modeling and Mapping of Tai Place- Names in Southern China Area-Based Spatial Interpolation Case Study 3C: Aggregating Data from Census Tracts to Neighborhoods and School Districts in Cleveland, Ohio Summary Appendix 3. Empirical Bayes (EB) Estimation for Spatial Smoothing GIS-Based Trade Area Analysis and Applications in Business Geography and Regional Planning Basic Methods for Trade Area Analysis Gravity Models for Delineating Trade Areas Case Study 4A: Defining Fan Bases of Chicago Cubs and White Sox Case Study 4B: Defining Hinterlands of Major Cities in Northeast China Concluding Remarks Appendix 4. Economic Foundation of the Gravity Model GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Access Issues on Accessibility The Floating Catchment Area Methods The Gravity-Based Method Case Study 5: Measuring Spatial Accessibility to Primary Care Physician in Chicago Region Discussion and Remarks Appendix 5. A Property for Accessibility Measures Function Fittings by Regressions and Application in Analyzing Urban and Regional 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 Region Discussion and Summary Appendix 6A: Deriving Urban Density Functions Appendix 6B: OLS Regression for a Linear Bivariate Model Appendix 6C: Sample SAS Program for Monocentric Function Fittings Principal Components, Factor, and Cluster Analyses, and Application in Social Area Analysis Principal Components and Factor Analysis Cluster Analysis Social Area Analysis Case Study 7: Social Area Analysis in Beijing Discussion and Summary Appendix 7A. Discriminant Function Analysis Appendix 7B. Sample SAS Program for Factor and Cluster Analyses Geographic Approaches to Analysis of Rare Events in Small Population and Application in Examining Homicide Patterns The Issue of Analyzing Rare Events in Small Population The ISD and the Spatial Order Methods The Scale-Space Clustering Method Case Study 8: Examining the Relationship between Job Access and Homicide Patterns in Chicago at Multiple Geographic Levels Based on the Scale-Space Melting Method Summary Appendix 8. The Poisson-based Regression Analysis Spatial Cluster Analysis, Spatial Regression, and Applications in Toponymical, Cancer, and Homicide Studies Point-Based Spatial Cluster Analysis Case Study 9A: Spatial Cluster Analysis of Tai Place Names in Southern China Area-Based Spatial Cluster Analysis Case Study 9B: Spatial Cluster Analysis of Cancer Patterns in Illinois Spatial Regression Case Study 9C: Spatial Regression Analysis of Homicide Patterns in Chicago Summary Appendix 9: Spatial Filtering Methods for Regression Analysis Linear Programming and Applications in Examining Wasteful Commuting and Allocating Health Care Providers Linear Programming (LP) and the Simplex Algorithm Case Study 10A: Measuring Wasteful Commuting in Columbus, Ohio Integer Programming and Location-Allocation Problems Case Study 10B: Allocating Healthcare Providers in Cuyahoga County, Ohio Discussion and Summary Appendix 10A. Hamilton's Model on Wasteful Commuting Appendix 10B. SAS Program for the LP Problem of Measuring Wasteful Commuting Solving a System of Linear Equations and Application in Simulating Urban Structure Solving a System of Linear Equations The Garin-Lowry Model Case Study 11: Simulating Population and Service Employment Distributions in a Hypothetical City Discussion and Summary Appendix 11A: The Input-Output Model Appendix 11B: Solving a System of Nonlinear Equations Appendix 11C: FORTRAN Program for Solving the Garin-Lowry Model 2009-10-13T01:36:11Z 2009-10-13T01:36:11Z 2006 Book 084932795 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1158 en application/octet-stream CRC Press |