Example for the two staged unsupervised machine learning algorithm using point data as input. Backlayer maps depict Hamburg. The map shows neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
xample for the two staged unsupervised machine learning algorithm using 500x500m grid cells as input. Backlayer maps depict Hamburg. The map shows large neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.
Looking for a measure of #neighborhoods, micro or macro #segregation?
I've got something for you!
My newly published paper in Sociological Methods & Research presents a machine-learning-based algorithm to delineate neighborhoods with grid-cell or point data:
journals.sagepub.com/doi/10.1177/...