A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change: A Case of Metro Detroit.

This article develops an integrated methodology to investigate dominant trajectories of neighborhood change that are often confronted in urban studies. Currently, researchers are using k-means cluster analysis to establish diverse neighborhood typologies and principal component analysis (PCA) to ide...

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Detalles Bibliográficos

Publicado en:	Annals of the American Association of Geographers Vol. 108; no. 5; pp. 1313 - 1338
Autores principales:	Li, Yuchen, Xie, Yichun
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Sep2018
Materias:	Neighborhoods Psychological typologies Socioeconomic factors Urban growth Sequential pattern mining
Acceso en línea:	Ver este registro en EBSCOhost