Using Random Forests on Real-World City Data for Urban Planning in a Visual Semantic Decision Support System

The constantly increasing amount and availability of urban data derived from varying sources leads to an assortment of challenges that include, among others, the consolidation, visualization, and maximal exploitation prospects of the aforementioned data. A preeminent problem affecting urban planning...

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Detalles Bibliográficos
Autores principales: Sideris, Nikolaos, Bardis, Georgios, Voulodimos, Athanasios, Miaoulis, Georgios, Ghazanfarpour, Djamchid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567884/
https://www.ncbi.nlm.nih.gov/pubmed/31100879
http://dx.doi.org/10.3390/s19102266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567884/
https://www.ncbi.nlm.nih.gov/pubmed/31100879
http://dx.doi.org/10.3390/s19102266

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