Function Fittings by Regressions and Application in Analyzing Urban Density Patterns

• Published in: Computational Methods and GIS Applications in Social Science - Lab Manual pp. 130 - 145
• Main Authors: Liu, Lingbo, Wang, Fahui
• Format: Book Chapter
• Language: English
• Published: United Kingdom CRC Press 2024; Taylor & Francis Group
• Edition: 1
• Subjects: Weighted Liner Regressions; Column Selection; Census Tract Centroids; Euclidean Distance; Python Script; Related Statistical Issues; Kernel Density Estimation; Origin Id; Top Input; Table Row; Destination Id; Monocentric Models; Tract Centroids; CMSA; Bottom Input; Health Informatics; 2SFCA Method; CSV File; Regular Linear Regression; Census Tract; Left Table; Population Density Patterns; Group Column; Pivot Column; Output Port

This chapter discusses how to identify the best fitting function to capture urban and regional population density patterns. Such an approach emphasizes the influence of a center or multiple centers on areawide density patterns in a city or across a region. By examining the change of density function...