| Description |
1 online resource (440 p.) |
| Contents |
Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Preface -- Authors -- Major GIS Datasets and Program Files -- Quick References for Spatial Analysis Tasks -- Part I GIS and Basic Spatial Analysis Tasks -- Chapter 1 Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools -- 1.1 Spatial and Attribute Data Management in ArcGIS -- 1.1.1 Map Projections and Spatial Data Models -- 1.1.2 Attribute Data Management and Attribute Join -- 1.2 Spatial Analysis Tools in ArcGIS: Queries, Spatial Joins, and Map Overlays |
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1.3 Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana -- 1.3.1 Mapping the Population Density Pattern -- 1.3.2 Analyzing the Population Density Pattern across Concentric Rings -- 1.4 Summary -- Appendix 1: Identifying Contiguous Polygons by Spatial Analysis Tools -- Chapter 2 Measuring Distance and Travel Time and Analyzing Distance Decay Behavior -- 2.1 Measures of Distance and Travel Time -- 2.2 Case Study 2A: Estimating Drive and Transit Times in Baton Rouge, Louisiana -- 2.2.1 Estimating a Euclidean or Geodesic Distance Matrix |
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2.2.2 Estimating a Drive Time Matrix -- 2.2.3 Estimating a Transit Time Matrix -- 2.3 Estimating Distance Decay Functions -- 2.4 Case Study 2B: Analyzing Distance Decay Behavior for Hospitalization in Florida -- 2.4.1 Estimating Distance Decay Functions by the Spatial Interaction Model -- 2.4.2 Estimating Distance Decay Functions by the Complementary Cumulative Distribution Method -- 2.5 Summary -- Appendix 2A: The Valued Graph Approach to the Shortest-Route Problem -- Appendix 2B: Estimating Drive Time and Transit Time Matrices by Google Maps API |
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Appendix 2C: Installing Geoprocessing Tools Based on R -- Chapter 3 Spatial Smoothing and Spatial Interpolation -- 3.1 Spatial Smoothing -- 3.1.1 Floating Catchment Area (FCA) Method -- 3.1.2 Kernel Density Estimation (KDE) Method -- 3.2 Point-Based Spatial Interpolation -- 3.2.1 Global Interpolation Methods -- 3.2.2 Local Interpolation Methods -- 3.3 Case Study 3A: Mapping Place-Names in Guangxi, China -- 3.3.1 Implementing the Floating Catchment Area Method -- 3.3.2 Implementing Spatial Interpolation Methods -- 3.4 Area-Based Spatial Interpolation |
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3.5 Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana -- 3.5.1 Implementing Areal Weighting Interpolation -- 3.5.2 Implementing Target-Density Weighting Interpolation -- 3.6 Spatiotemporal Kernel Density Estimation (STKDE) Method -- 3.7 Case Study 3C: Detecting Spatiotemporal Crime Hotspots in Baton Rouge, Louisiana -- 3.8 Summary -- Appendix 3: Empirical Bayes Estimation for Spatial Smoothing -- Part II Basic Computational Methods and Applications -- Chapter 4 Delineating Functional Regions and Application in Health Geography |
| Notes |
Description based upon print version of record |
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4.1 Basic Geographic Methods for Defining Functional Regions |
| Form |
Electronic book
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| Author |
Liu, Lingbo
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| ISBN |
9781000923308 |
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1000923304 |
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