Datasets for Computational Methods and GIS Applications in Social Science

<p>Dataset for the textbook </p>
<h2>Computational Methods and GIS Applications in Social Science (3rd Edition), 2023</h2>
<p>Fahui Wang, Lingbo Liu</p>
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<p> Main Book Citation: </br> Wang, F., & Liu, L. (2023). Computational Methods and GIS Applications in Social Science (3rd ed.). CRC Press. https://doi.org/10.1201/9781003292302</br></p>
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<p> KNIME Lab Manual Citation: </br> Liu, L., & Wang, F. (2023). Computational Methods and GIS Applications in Social Science - Lab Manual. CRC Press. https://doi.org/10.1201/9781003304357</br></p>
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</p><a href="https://hub.knime.com/center%20for%20geographic%20analysis%20at%20harvard%20university/spaces/Computational%20Methods%20and%20GIS%20Applications%20in%20Social%20Science-KNIME%20Lab%20Manual/~xPVOJanfKir8RSjm/" target="_blank">KNIME Hub Dataset and Workflow for Computational Methods and GIS Applications in Social Science-Lab Manual</a></p>
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<p> Update Log</br>
If Python package not found in Package Management, use ArcGIS Pro's Python Command Prompt to install them, e.g., </br>
conda install -c conda-forge python-igraph leidenalg </br>

NetworkCommDetPro in CMGIS-V3-Tools was updated on July 10,2024 </br>
Add spatial adjacency table into Florida on June 29,2024 </br>
The dataset and tool for ABM Crime Simulation were updated on August 3, 2023, </br>
The toolkits in CMGIS-V3-Tools was updated on August 3rd,2023.</br>
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<p>Report Issues on GitHub </br> <a href="https://github.com/UrbanGISer/Computational-Methods-and-GIS-Applications-in-Social-Science">https://github.com/UrbanGISer/Computational-Methods-and-GIS-Applications-in-Social-Science</a></p>

<p>Following the website of Fahui Wang : </br> <a href="http://faculty.lsu.edu/fahui">http://faculty.lsu.edu/fahui</a></p>

<p><strong>Contents</strong></p>
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<p><strong>Chapter 1. Getting Started with ArcGIS: Data Management and Basic Spatial Analysis Tools</strong></p>
<li>Case Study 1: Mapping and Analyzing Population Density Pattern in Baton Rouge, Louisiana</li>
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<p><strong>Chapter 2. Measuring Distance and Travel Time and Analyzing Distance Decay Behavior</strong></p>
<li>Case Study 2A: Estimating Drive Time and Transit Time in Baton Rouge, Louisiana</li>
<li>Case Study 2B: Analyzing Distance Decay Behavior for Hospitalization in Florida</li>
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<p><strong>Chapter 3. Spatial Smoothing and Spatial Interpolation</strong></p>
<li>Case Study 3A: Mapping Place Names in Guangxi, China</li>
<li>Case Study 3B: Area-Based Interpolations of Population in Baton Rouge, Louisiana</li>
<li>Case Study 3C: Detecting Spatiotemporal Crime Hotspots in Baton Rouge, Louisiana</li>
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<p><strong>Chapter 4. Delineating Functional Regions and Applications in Health Geography</strong></p>
<li>Case Study 4A: Defining Service Areas of Acute Hospitals in Baton Rouge, Louisiana</li>
<li>Case Study 4B: Automated Delineation of Hospital Service Areas in Florida</li>
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<p><strong>Chapter 5. GIS-Based Measures of Spatial Accessibility and Application in Examining Healthcare Disparity</strong></p>
<li>Case Study 5: Measuring Accessibility of Primary Care Physicians in Baton Rouge</li>
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<p><strong>Chapter 6. Function Fittings by Regressions and Application in Analyzing Urban Density Patterns</strong></p>
<li>Case Study 6: Analyzing Population Density Patterns in Chicago Urban Area</li>
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<p>><strong>Chapter 7. Principal Components, Factor and Cluster Analyses and Application in Social Area Analysis</strong></p>
<li>Case Study 7: Social Area Analysis in Beijing</li>
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<p><strong>Chapter 8. Spatial Statistics and Applications in Cultural and Crime Geography</strong></p>
<li>Case Study 8A: Spatial Distribution and Clusters of Place Names in Yunnan, China</li>
<li>Case Study 8B: Detecting Colocation Between Crime Incidents and Facilities</li>
<li>Case Study 8C: Spatial Cluster and Regression Analyses of Homicide Patterns in Chicago</li>
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<p><strong>Chapter 9. Regionalization Methods and Application in Analysis of Cancer Data</strong></p>
<li>Case Study 9: Constructing Geographical Areas for Mapping Cancer Rates in Louisiana</li>
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<p><strong>Chapter 10. System of Linear Equations and Application of Garin-Lowry in Simulating Urban Population and Employment Patterns</strong></p>
<li>Case Study 10: Simulating Population and Service Employment Distributions in a Hypothetical City</li>
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<p><strong>Chapter 11. Linear and Quadratic Programming and Applications in Examining Wasteful Commuting and Allocating Healthcare Providers</strong></p>
<li>Case Study 11A: Measuring Wasteful Commuting in Columbus, Ohio</li>
<li>Case Study 11B: Location-Allocation Analysis of Hospitals in Rural China</li>
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<p><strong>Chapter 12. Monte Carlo Method and Applications in Urban Population and Traffic Simulations</strong></p>
<li> Case Study 12A. Examining Zonal Effect on Urban Population Density Functions in Chicago by Monte Carlo Simulation</li>
<li>Case Study 12B: Monte Carlo-Based Traffic Simulation in Baton Rouge, Louisiana</li>
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<p><strong>Chapter 13. Agent-Based Model and Application in Crime Simulation</strong></p>
<li>Case Study 13: Agent-Based Crime Simulation in Baton Rouge, Louisiana</li>
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<p><strong>Chapter 14. Spatiotemporal Big Data Analytics and Application in Urban Studies</strong></p>
<li>Case Study 14A: Exploring Taxi Trajectory in ArcGIS</li>
<li>Case Study 14B: Identifying High Traffic Corridors and Destinations in Shanghai</li>
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<p><strong>Dataset File Structure</strong></p>
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<p><strong>1 BatonRouge </strong></p>
</b>Census.gdb</br>
</b>BR.gdb
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<p><strong>2A BatonRouge</strong></p>
</b> BR_Road.gdb</br>
</b> Hosp_Address.csv</br>
</b>TransitNetworkTemplate.xml</br>
</b>BR_GTFS</br>
</b> Google API Pro.tbx</br>
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<p><strong>2B Florida </strong></p>
</b> FL_HSA.gdb</br>
</b>R_ArcGIS_Tools.tbx (RegressionR)</br>
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<p><strong>3A China_GX</strong></p>
</b>GX.gdb</br>
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<p><strong>3B BatonRouge </strong></p>
</b>BR.gdb</br>
</br>
<p><strong>3C BatonRouge</strong></p>
</b> BRcrime </br>
</b> R_ArcGIS_Tools.tbx (STKDE) </br>
</br>
<p><strong>4A BatonRouge</strong></p>
</b> BRRoad.gdb</br>
</br>
<p><strong>4B Florida</strong></p>
</b> FL_HSA.gdb</br>
</b> HSA Delineation Pro.tbx</br>
</b> Huff Model Pro.tbx</br>
</b> FLplgnAdjAppend.csv</br>
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<p><strong>5 BRMSA </strong></p>
</b> BRMSA.gdb </br>
</b> Accessibility Pro.tbx</br>
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<p><strong>6 Chicago</strong> </p>
</b> ChiUrArea.gdb </br>
</b> R_ArcGIS_Tools.tbx (RegressionR)</br>
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<p><strong>7 Beijing</strong></p>
</b> BJSA.gdb</br>
</b>bjattr.csv </br>
</b> R_ArcGIS_Tools.tbx (PCAandFA,</br>
</b> BasicClustering)</br>
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<p><strong>8A Yunnan </strong></p>
</b> YN.gdb</br>
</b>R_ArcGIS_Tools.tbx (SaTScanR) </br>
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<p><strong>8B Jiangsu </strong></p>
</b>JS.gdb </br>
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<p><strong>8C Chicago </strong></p>
</b> ChiCity.gdb</br>
</b> cityattr.csv</br>
</b> R_ArcGIS_Tools.tbx</br>
</b> (PCAandFA, SpatialRegressionModel) </br>
</br>
<p><strong>9 Louisiana</strong> </p>
</b> Louisiana.gdb </br>
</b> MLR Tools Pro.tbx</br>
</b> R_ArcGIS_Tools.tbx (RegionalizationR)</br>
</br>
<p><strong>10 SimuCity</strong> </p>
</b> SimuCity.gdb </br>
</b> Garin-Lowry.tbx</br>
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<p><strong>11A Columbus</strong></p>
</b> Columbus.gdb </br>
</b> R_ArcGIS_Tools.tbx (WasteCommuteR) </br>
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<p><strong>11B Xiantao </strong></p>
</b> XT.gdb </br>
</b> R_ArcGIS_Tools.tbx</br>
</b> (MiniMaxR, MAEP)</br>
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<p><strong>12A Chicago</strong> </p>
</b> ZoneEffect.gdb</br>
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<p><strong>12B BRMSA </strong></p>
</b> BRMSAmc.gdb</br>
</b> MCSimulation.tbx </br>
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<p><strong>13 ABMSIM</strong> </p>
</b> Data </br>
</b> ABMscripts</br>
</b> ABM Crime Simulator for ArcGIS Pro.tbx</br>
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<p><strong>14 Shanghai </strong></p>
</b>Shanghai.gdb </br>
</b> SHtaxi.csv</br>
</b> raw ( original data >= 9GB, save as split independent files)</br>
</b> XSTAR </br>
</br>
</b>notice：raw.csv..7z.001-003 files are for Chapter 14</br>
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<p> <strong>CMGIS-V3-Toolbox</strong></p>
</b>R-ArcGIS-Tools</br>
</b>ArcPy-Tools</br>