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Friday, December 1 • 4:15pm - 4:40pm
Geosilhouettes: putting the "Geo" back in Geodemographics

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Community detection and analysis is a fundamental concern of spatial data science. But, many of the metrics we use to characterize how well an observation fits into a cluster do not consider spatial information about the observation and its context. Instead, I suggest a new family of measures that are simple in concept and powerful in application. I'll show an application of these new measures: together, we'll examine how some neighborhoods can be strongly distinct even when they're right next to one another, and some can flow seamlessly into one another.

avatar for Levi Wolf

Levi Wolf

Lecturer in Quantitative Human Geography, University of Bristol
My name is Levi John Wolf. I am a lecturer in Quantitative Human Geography at the University of Bristol’s Spatial Modeling Group. My dissertation focused on the spatial dimensions of electoral change, improving measures and models that can be used to detect gerrymandering. Now... Read More →

Friday December 1, 2017 4:15pm - 4:40pm