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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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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