I outline the technical documentation for the Fall 2025 Quantitative Histories Workshop series on Critical Computational Geographies. In this particular section, we focus on questions about indicators used to quantify segregation. This section is part of a long-term project of the Quantitative Histories Workshop focused on exploring the dynamic features of context in probability and high-dimensional data.

Cross Table_Beaver2 (Dataset)

grafica de producto

Dataset package_beaver2

Collecting POI data using Google Places API

Comparación de rendimiento de banano (Musa acuminata) de consumo interno en el departamento de Antioquia Realizado por Carlos Miranda y Estiven Usuga Ingeniería Agropecuaria

City chosen: Birmingham, Alabama Two place types: School and Hospital Number of rows in dataset: 1600 # Observations: # - Schools are generally more numerous and spread evenly across the city boundaries in the residential areas. # - Hospitals are fewer and spread across major roads and central locations. In case of Birmingham,AL they are concentrated in the medical district and the UAB campus.