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Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems

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Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems

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Molina-Gomez, NI.; Rodriguez-Rojas, K.; Calderón-Rivera, D.; Díaz Arévalo, JL.; López Jiménez, PA. (2020). Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems. Sustainability. 12(8):1-20. https://doi.org/10.3390/su12083326

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/156565

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Title: Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems
Author: Molina-Gomez, Nidia Isabel Rodriguez-Rojas, Karen Calderón-Rivera, Dayam Díaz Arévalo, Jose Luis López Jiménez, Petra Amparo
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
Issued date:
Abstract:
[EN] Different studies have been carried out to evaluate the progress made by countries and cities towards achieving sustainability to compare its evolution. However, the micro-territorial level, which encompasses a community ...[+]
Subjects: Urban sustainability , Indicators , Supervised classification , Micro-territories
Copyrigths: Reconocimiento (by)
Source:
Sustainability. (eissn: 2071-1050 )
DOI: 10.3390/su12083326
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/su12083326
Type: Artículo

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