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Abstract
GIS-Based Lacunarity Analysis for Assessing Urban Residential Segregation
Track: Census and Geo-Demographics
Author(s): Ben Wu, Daniel Sui
Urban residential segregation is a scale-dependent phenomenon yet existing structural and spatial indexes measure only certain dimensions of segregation at one single scale. Researchers developed a GIS-based procedure, using ArcView Spatial Analyst, of multiscale lacunarity analysis for measuring segregation. Simulation studies showed that this approach can effectively capture multiple dimensions of segregation patterns at multiple scales. This method and census tract level dataset were used to evaluate residential segregation in Houston, Texas. Segregation declined from the 1980s to the 1990s in traditionally more segregated races and mid- to high-income classes but increased in a traditionally less segregated race and the low-income class.
Ben Wu
Texas A&M University
Rangeland Ecology & Mgt
2126 TAMU
College Station , TX 77843-2126
USA
Phone: 979-845-7334
Fax: 979-845-6430
E-mail: b-wu@tamu.edu
Daniel Sui
Texas A&M University
Geography
3147 TAMU
College Station 77843-3147
USA
Phone: 979-845-7154
E-mail: d-sui@tamu.edu