Type | Name | |
---|---|---|
Data | ||
Case01-Mapping and Analyzing Population Density Pattern in Baton Rouge | ||
Case02A1-Geocoding Hospitals and Estimating Euclidean and Manhattan Distances | ||
Case02A2-Estimating and Comparing Distances by Google OSRM and Road Network | ||
Case02B-Analyzing Distance Decay Behavior for Hospitalization in Florida | ||
Case03A-Mapping Place Names in Guangxi China | ||
Case03B-Area-Based Interpolations of Population in Baton Rouge | ||
Case03C-Detecting Spatiotemporal Crime Hotspots in Baton Rouge | ||
Case04A-Defining Service Areas of Acute Hospitals in Baton Rouge | ||
Case04B1- Delineating Hospital Service Areas by the Refined Dartmouth Method | ||
Case04B2-Delineating Hospital Service Areas by Spatialized Network Community Detection Methods | ||
Case05A-Measuring Accessibility of Primary Care Physicians in Baton Rouge | ||
Case05B-Implementing the 2SVCA Method for Telehealth Accessibility | ||
Case05C-Sensitive Analysis for Measuring Accessibility by Workflow Automation | ||
Case06A-Function Fittings for Monocentric Models at the Census Tract Level | ||
Case06B-Function Fittings for Polycentric Models at the Census Tract Level | ||
Case06C-Function Fittings for Monocentric Models at the Township Level |
This space contains workflows that accompany the book: Computational Methods and GIS Applications in Social Science (3 Edition) and its KNIME Lab Manual.
DOI: 10.1201/9781003304357 (KNIME Lab Manual)
DOI: 10.1201/9781003292302 (Main book)
The book details applications of quantitative methods in social science, planning, and public policy with a focus on spatial perspectives. The book integrates GIS and quantitative (computational) methods and demonstrates them in various policy-relevant socio-economic applications with step-by-step instructions and datasets. The book demonstrates the diversity of issues where GIS can be used to enhance studies related to socio-economic issues and public policy.