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Unit 11 project
Unit 11 Project - Max Hogue
question 2
submission of assignment 4 question 2
question1
submission of assignment 4 question 1
Document
student_green_assignment_five.r.
Spatial analysis in geography is not only concerned with identifying patterns, but with explaining how those patterns differ across space relative to a broader context. In urban environments such as New York City, population distributions are highly uneven, reflecting long-standing processes of segregation, migration, and economic restructuring. Simply mapping counts or proportions of demographic groups does not fully capture these spatial relationships. What is required is a method that allows comparison between local conditions and the broader regional structure. The Location Quotient (LQ) provides this analytic capability. Rather than describing how many individuals of a given group live in a census tract, LQ measures whether that group is more or less concentrated in that tract relative to the overall population distribution of the city. This allows for the identification of areas of over-representation and under-representation, making it a powerful tool for understanding spatial inequality, clustering, and demographic structure. In the context of New York City, this is particularly important. The city is composed of diverse neighborhoods with distinct demographic profiles, and these patterns are shaped by historical processes such as redlining, housing policy, and migration flows. By applying Location Quotients to tract-level Census data, this analysis moves beyond descriptive mapping and toward a comparative spatial framework that reveals how demographic groups are distributed relative to the city as a whole.