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Μ-Shapes: Delineating Urban Neighborhoods Using Volunteered Geographic Information, Matt Aadland, Christopher Farah, Kevin Magee
Μ-Shapes: Delineating Urban Neighborhoods Using Volunteered Geographic Information, Matt Aadland, Christopher Farah, Kevin Magee
Journal of Spatial Information Science
Urban neighborhoods are a unique form of geography in that their boundaries rely on a social definition rather than a well-defined physical or administrative boundary. Currently, geographic gazetteers capture little more than then the centroid of a neighborhood, limiting potential applications of the data. In this paper, we present µ-shapes, an algorithm that employs fuzzy-set theory to model neighborhood boundaries suitable for populating gazetteers using volunteered geographic information (VGI). The algorithm is evaluated using a reference dataset and VGI from the Map Kibera Project. A confusion matrix comparison between the reference dataset and µ-shape's output demonstrated high sensitivity and accuracy. …