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

Escuela Técnica Superior de Ingeniería La Salle

Producción científica: Capítulo del libro › Capítulo › revisión exhaustiva

1 Cita (Scopus)

Resumen

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	Inglés
Título de la publicación alojada	Implementing Data-Driven Strategies in Smart Cities
Subtítulo de la publicación alojada	A Roadmap for Urban Transformation
Editorial	Elsevier
Páginas	173-195
Número de páginas	23
ISBN (versión digital)	9780128211229
ISBN (versión impresa)	9780128211236
DOI	https://doi.org/10.1016/B978-0-12-821122-9.00010-5
Estado	Publicada - 1 ene 2021

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 11: Ciudades y comunidades sostenibles

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

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Data analysis, modeling, and visualization in smart cities

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