Universal spatial scales of homophily and heterophily in global amenity networks, where heterophilic mixing predicts rental value changes more effectively than amenity diversity.
Annals of the Association of American Geographers , volume =
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SVBR is a new hierarchical Bayesian method that treats buffer radii as unknown spatially varying parameters, improves parameter recovery in simulations, and reveals spatial heterogeneity in healthcare access effects on antenatal care in Madagascar.
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Networks of amenities reveal universal homophily and heterophily across global cities
Universal spatial scales of homophily and heterophily in global amenity networks, where heterophilic mixing predicts rental value changes more effectively than amenity diversity.
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Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
SVBR is a new hierarchical Bayesian method that treats buffer radii as unknown spatially varying parameters, improves parameter recovery in simulations, and reveals spatial heterogeneity in healthcare access effects on antenatal care in Madagascar.