Discretization of the Urban and Non-Urban Shape: Unsupervised Machine Learning Techniques for Territorial Planning

Discretization of the Urban and Non-Urban Shape: Unsupervised Machine Learning Techniques for Territorial Planning

One of the goals of the scientific community is to equip the discipline of spatial planning with efficient tools to handle huge amounts of data. In this sense, unsupervised machine learning techniques (UMLT) can help overcome this obstacle to further the study of spatial dynamics. New machine-learni...

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Bibliographic Details
Main Authors: Lorena Fiorini, Federico Falasca, Alessandro Marucci, Lucia Saganeiti
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
unsupervised machine learning
UMLT
urban planning
clustering models
machine learning
mosaic urban pattern
Online Access:https://www.mdpi.com/2076-3417/12/20/10439

Internet

https://www.mdpi.com/2076-3417/12/20/10439

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