Description
Fundamentals of Spatial Analysis + PySAL Overview + Spatial data processing + Choropleth mapping and geovisualization + Spatial weights + Global & Local spatial autocorrelation
Applied Spatial Analysis: Neighborhoods + Clustering/Geodemographic Analysis + Segregation Analysis
Expected level of knowledge: Intermediate
Goals: - learn fundamentals of processing geospatial data in Python - develop skills in geovisualization and exploratory spatial data analysis - explore applications of spatial data to urban segregation and neighborhood equity