Avaliação da qualidade de dados ambientais por meio de técnicas de analítica visual
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
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. |
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Repositório Institucional da UNESP |
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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 |