Data Visualization and Enhanced Learning in Engineering Education Through Oil Pollution Studies and Environmental Impact Assessment

Uhomoibhi, James; White, Conor

doi:10.1007/978-3-319-73204-6_31

Cited by 1 publication

(1 citation statement)

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“…The article reflected the results of an investigation into the interiors of buildings in the city of Beijing. In the same context, there were several other studies focused on air pollution monitoring by Big Data analysis techniques [4,5,[12][13][14][15][16][17][18]. Some focused specifically on vehicular congestion [19][20], while others examined the adverse effects that occur in humans, such as infertility [21].…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for Big Data integration in e-government

Martinez-Mosquera

Luján-Mora

2019

DYNA

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This article describes researches regarding Big Data integration in e‑government decision‑making, for instance, in areas like solar energy provisioning, environmental protection, agricultural and natural resources exploitation, health and social care, education, housing and transportation management, among others. These studies refer to regions that have integrated Big Data in e‑government, where South America is still in the early adoption stages. Hence, this study proposes three steppingstones for Big Data integration in e‑government decision‑making, production, management and application. The proposed framework aims to be a reference in South America for Big Data adoption in e‑government and thus help to mitigate the technology delay regarding other regions. Finally, a case study with open data obtained from the Instituto Nacional de Estadística y Censos of Ecuador (Ecuadorian Statistics and Census Agency) is presented.

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