Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual

Detalhes bibliográficos
Autor(a) principal: do Carmo, Alisson Fernando Coelho [UNESP]
Data de Publicação: 2016
Outros Autores: Shimabukuro, Milton Hirokazu [UNESP], de Alcântara, Enner Herenio [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1590/S1982-21702016000300031
http://hdl.handle.net/11449/178352
Resumo: The technological advances has boosted automated and periodic data collections using sensors, such as those performed in Integrated Environmental Monitoring System (SIMA), which dataset is used in this work. Despite of the automation degree, there are some flaws in the dataset caused by problems in the collection, transmission or data storage. Due to the existence of large multivariate temporal data and the possibility of failure, interactive visual representations of the data can improve the study and characterization of the dataset. In this work, Visual Analytics techniques were applied to obtain some characteristics from the environmental dataset, which subsequently can impact the quality of analysis of the associated phenomena. The results showed the benefits of using visual and interactive representations for dataset analysis, which facilitates the information extraction about dataset characteristics, such as data availability, sensors operation characteristics, and evidences of a failure pattern.
id UNSP_94743135ed62eb65559ac016bbb29d59
oai_identifier_str oai:repositorio.unesp.br:11449/178352
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visualUsing Visual Analytics techniques to evaluate the Data Quality in environmental datasetsData qualityEnvironmental sensorsVisual analyticsThe technological advances has boosted automated and periodic data collections using sensors, such as those performed in Integrated Environmental Monitoring System (SIMA), which dataset is used in this work. Despite of the automation degree, there are some flaws in the dataset caused by problems in the collection, transmission or data storage. Due to the existence of large multivariate temporal data and the possibility of failure, interactive visual representations of the data can improve the study and characterization of the dataset. In this work, Visual Analytics techniques were applied to obtain some characteristics from the environmental dataset, which subsequently can impact the quality of analysis of the associated phenomena. The results showed the benefits of using visual and interactive representations for dataset analysis, which facilitates the information extraction about dataset characteristics, such as data availability, sensors operation characteristics, and evidences of a failure pattern.Faculdade de Ciências e Tecnologias (FCT) Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Faculdade de Ciências e Tecnologias (FCT) Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)Universidade Estadual Paulista (Unesp)do Carmo, Alisson Fernando Coelho [UNESP]Shimabukuro, Milton Hirokazu [UNESP]de Alcântara, Enner Herenio [UNESP]2018-12-11T17:29:52Z2018-12-11T17:29:52Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article542-556application/pdfhttp://dx.doi.org/10.1590/S1982-21702016000300031Boletim de Ciencias Geodesicas, v. 22, n. 3, p. 542-556, 2016.1982-21701413-4853http://hdl.handle.net/11449/17835210.1590/S1982-21702016000300031S1982-217020160003005422-s2.0-84991471867S1982-21702016000300542.pdf1184195536814806Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporBoletim de Ciencias Geodesicas0,188info:eu-repo/semantics/openAccess2024-06-19T14:32:06Zoai:repositorio.unesp.br:11449/178352Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-19T14:32:06Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
Using Visual Analytics techniques to evaluate the Data Quality in environmental datasets
title Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
spellingShingle Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
do Carmo, Alisson Fernando Coelho [UNESP]
Data quality
Environmental sensors
Visual analytics
title_short Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
title_full Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
title_fullStr Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
title_full_unstemmed Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
title_sort Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
author do Carmo, Alisson Fernando Coelho [UNESP]
author_facet do Carmo, Alisson Fernando Coelho [UNESP]
Shimabukuro, Milton Hirokazu [UNESP]
de Alcântara, Enner Herenio [UNESP]
author_role author
author2 Shimabukuro, Milton Hirokazu [UNESP]
de Alcântara, Enner Herenio [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv do Carmo, Alisson Fernando Coelho [UNESP]
Shimabukuro, Milton Hirokazu [UNESP]
de Alcântara, Enner Herenio [UNESP]
dc.subject.por.fl_str_mv Data quality
Environmental sensors
Visual analytics
topic Data quality
Environmental sensors
Visual analytics
description The technological advances has boosted automated and periodic data collections using sensors, such as those performed in Integrated Environmental Monitoring System (SIMA), which dataset is used in this work. Despite of the automation degree, there are some flaws in the dataset caused by problems in the collection, transmission or data storage. Due to the existence of large multivariate temporal data and the possibility of failure, interactive visual representations of the data can improve the study and characterization of the dataset. In this work, Visual Analytics techniques were applied to obtain some characteristics from the environmental dataset, which subsequently can impact the quality of analysis of the associated phenomena. The results showed the benefits of using visual and interactive representations for dataset analysis, which facilitates the information extraction about dataset characteristics, such as data availability, sensors operation characteristics, and evidences of a failure pattern.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-12-11T17:29:52Z
2018-12-11T17:29:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1590/S1982-21702016000300031
Boletim de Ciencias Geodesicas, v. 22, n. 3, p. 542-556, 2016.
1982-2170
1413-4853
http://hdl.handle.net/11449/178352
10.1590/S1982-21702016000300031
S1982-21702016000300542
2-s2.0-84991471867
S1982-21702016000300542.pdf
1184195536814806
url http://dx.doi.org/10.1590/S1982-21702016000300031
http://hdl.handle.net/11449/178352
identifier_str_mv Boletim de Ciencias Geodesicas, v. 22, n. 3, p. 542-556, 2016.
1982-2170
1413-4853
10.1590/S1982-21702016000300031
S1982-21702016000300542
2-s2.0-84991471867
S1982-21702016000300542.pdf
1184195536814806
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Boletim de Ciencias Geodesicas
0,188
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 542-556
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803650343513358336