Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment

Detalhes bibliográficos
Autor(a) principal: Luemba, Matias Emir [UNESP]
Data de Publicação: 2021
Outros Autores: Kunzayila, Nsiamfumu [UNESP], Casaca, Wallace [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-030-86976-2_10
http://hdl.handle.net/11449/229585
Resumo: This paper presents a study that makes use of several Exploratory Data Analysis and Information Visualization techniques to analyze forest data. Our goal was to carry out a data-driven investigation based on information from the so-called Forest Origin Document (DOF) system, which has been used by the Brazilian Institute for the Environment and Renewable Natural Resources (IBAMA) to control and supervise wood harvesting. The data utilized in this study have been obtained from the IBAMA’s website. A comprehensive literature review covering the topics data analysis and visualization was conducted, allowing us to perform graphically oriented inspections and data-driven discussions when handling DOF-type data. Moreover, proposals have been presented in an effort to detect possible signs of fraud and illegality. Finally, by using data analysis tools, it was possible to originate different graphic models and data-based visualizations, thus obtaining summaries and preliminary results about the data of the Forestry Document system.
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spelling Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the EnvironmentAmazon RainforestExploratory Data AnalysisForest Origin DocumentInformation VisualizationThis paper presents a study that makes use of several Exploratory Data Analysis and Information Visualization techniques to analyze forest data. Our goal was to carry out a data-driven investigation based on information from the so-called Forest Origin Document (DOF) system, which has been used by the Brazilian Institute for the Environment and Renewable Natural Resources (IBAMA) to control and supervise wood harvesting. The data utilized in this study have been obtained from the IBAMA’s website. A comprehensive literature review covering the topics data analysis and visualization was conducted, allowing us to perform graphically oriented inspections and data-driven discussions when handling DOF-type data. Moreover, proposals have been presented in an effort to detect possible signs of fraud and illegality. Finally, by using data analysis tools, it was possible to originate different graphic models and data-based visualizations, thus obtaining summaries and preliminary results about the data of the Forestry Document system.Faculty of Science and Technology (FCT) São Paulo State University (UNESP), Presidente Prudente CampusBauru School of Sciences – São Paulo State University (UNESP)Faculty of Science and Technology (FCT) São Paulo State University (UNESP), Presidente Prudente CampusBauru School of Sciences – São Paulo State University (UNESP)Universidade Estadual Paulista (UNESP)Luemba, Matias Emir [UNESP]Kunzayila, Nsiamfumu [UNESP]Casaca, Wallace [UNESP]2022-04-29T08:33:19Z2022-04-29T08:33:19Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject145-159http://dx.doi.org/10.1007/978-3-030-86976-2_10Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12953 LNCS, p. 145-159.1611-33490302-9743http://hdl.handle.net/11449/22958510.1007/978-3-030-86976-2_102-s2.0-85115701020Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)info:eu-repo/semantics/openAccess2024-06-18T18:18:38Zoai:repositorio.unesp.br:11449/229585Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:43:44.332529Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
title Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
spellingShingle Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
Luemba, Matias Emir [UNESP]
Amazon Rainforest
Exploratory Data Analysis
Forest Origin Document
Information Visualization
title_short Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
title_full Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
title_fullStr Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
title_full_unstemmed Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
title_sort Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment
author Luemba, Matias Emir [UNESP]
author_facet Luemba, Matias Emir [UNESP]
Kunzayila, Nsiamfumu [UNESP]
Casaca, Wallace [UNESP]
author_role author
author2 Kunzayila, Nsiamfumu [UNESP]
Casaca, Wallace [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Luemba, Matias Emir [UNESP]
Kunzayila, Nsiamfumu [UNESP]
Casaca, Wallace [UNESP]
dc.subject.por.fl_str_mv Amazon Rainforest
Exploratory Data Analysis
Forest Origin Document
Information Visualization
topic Amazon Rainforest
Exploratory Data Analysis
Forest Origin Document
Information Visualization
description This paper presents a study that makes use of several Exploratory Data Analysis and Information Visualization techniques to analyze forest data. Our goal was to carry out a data-driven investigation based on information from the so-called Forest Origin Document (DOF) system, which has been used by the Brazilian Institute for the Environment and Renewable Natural Resources (IBAMA) to control and supervise wood harvesting. The data utilized in this study have been obtained from the IBAMA’s website. A comprehensive literature review covering the topics data analysis and visualization was conducted, allowing us to perform graphically oriented inspections and data-driven discussions when handling DOF-type data. Moreover, proposals have been presented in an effort to detect possible signs of fraud and illegality. Finally, by using data analysis tools, it was possible to originate different graphic models and data-based visualizations, thus obtaining summaries and preliminary results about the data of the Forestry Document system.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
2022-04-29T08:33:19Z
2022-04-29T08:33:19Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-030-86976-2_10
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12953 LNCS, p. 145-159.
1611-3349
0302-9743
http://hdl.handle.net/11449/229585
10.1007/978-3-030-86976-2_10
2-s2.0-85115701020
url http://dx.doi.org/10.1007/978-3-030-86976-2_10
http://hdl.handle.net/11449/229585
identifier_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12953 LNCS, p. 145-159.
1611-3349
0302-9743
10.1007/978-3-030-86976-2_10
2-s2.0-85115701020
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 145-159
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_ 1808129454889762816

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