Big data + big cities: Graph signals of urban air pollution [Exploratory SP]

Rishee K. Jain, Jose M.F. Moura, Constantine Kontokosta

Research output: Contribution to journalArticle

Abstract

For the first time in human history, the majority of the world?s inhabitants now reside in cities. Urban inhabitants are expected to account for a staggering 67% of the world?s population (6.3 billion people) by 2050 [1]. This enormous migration toward urban environments has brought with it a host of challenges related to sustainability, health, and development. Engineers, scientists, and policy makers must grapple with the daunting task of providing the next generation of urban citizens with such core necessities as clean water, energy, and air.

Original languageEnglish (US)
Article number6879574
Pages (from-to)130-136
Number of pages7
JournalIEEE Signal Processing Magazine
Volume31
Issue number5
DOIs
StatePublished - 2014

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Air Pollution
Air pollution
Sustainable development
Health
Engineers
Graph in graph theory
Air
Water
Sustainability
Migration
Energy
Big data

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Big data + big cities : Graph signals of urban air pollution [Exploratory SP]. / Jain, Rishee K.; Moura, Jose M.F.; Kontokosta, Constantine.

In: IEEE Signal Processing Magazine, Vol. 31, No. 5, 6879574, 2014, p. 130-136.

Research output: Contribution to journalArticle

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