Data analysis, modeling, and visualization in smart cities

Carlos Carrasco-Farré; Ignasi Alcalde; Didier Grimaldi

doi:10.1016/B978-0-12-821122-9.00010-5

Data analysis, modeling, and visualization in smart cities

Carlos Carrasco-Farré
, Ignasi Alcalde
, Didier Grimaldi

Escola Tècnica Superior d'Enginyeria La Salle

Producció científica: Capítol de llibre › Capítol › Avaluat per experts

1 Citació (Scopus)

Resum

The rise of data is a fact, and its volume is estimated to double every 1.2years. After data is collected, processed, and modeled, the relationships need to be visualized so a conclusion can be made. Cities have two things in abundance: data and unanswered questions. Sometimes, the challenge is not so much about generating and capturing more data but rather discovering new ways to condense, interpret, and make decisions regarding this data. And for that the key lies in data visualization, which is one of the best-known methods to reduce and illustrate data in a simplified and visual way.

Idioma original	Anglès
Títol de la publicació	Implementing Data-Driven Strategies in Smart Cities
Subtítol de la publicació	A Roadmap for Urban Transformation
Editor	Elsevier
Pàgines	173-195
Nombre de pàgines	23
ISBN (electrònic)	9780128211229
ISBN (imprès)	9780128211236
DOIs	https://doi.org/10.1016/B978-0-12-821122-9.00010-5
Estat de la publicació	Publicada - 1 de gen. 2021

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Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

ODS 11 Ciutats i comunitats sostenibles

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10.1016/B978-0-12-821122-9.00010-5

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AU - Grimaldi, Didier

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Data analysis, modeling, and visualization in smart cities

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