Skip to main content

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

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bezerra, M.H., Morgado, R.P.: Research Report Open Data on Climate, Forest and Agriculture: An Analysis of the Opening of Federal Databases. Imaflora. Piracicaba, São Paulo (2017)

    Google Scholar 

  2. Samvelyan, A., Shaptala, R., Kyselov, G.: Exploratory analysis of Kiev city petition data. In: 2020 IEEE 2nd International Conference on Systems Analysis and Intelligent Computing (SAIC) (2020)

    Google Scholar 

  3. Zhang, M., Chen, L., Li, Q., Yuan, X., Yong, J.: Uncertainty-oriented ensemble data visualization and exploration using variable spatial spreading. IEEE Trans. Visual. Comput. Graphics. 27, 1808–1818 (2020)

    Article  Google Scholar 

  4. Scabin, A.: Illegal logging in the Anavilhanas archipelago (central Amazon): human variables that determine the spatial distribution of logging and structural effects on the most exploited taxa. National Amazon Research Institute. Manaus, Amazonas (2010)

    Google Scholar 

  5. Khan, S., Velan, S.: Application of exploratory data analysis to generate inferences on the occurrence of breast cancer using a sample dataset. In: IEEE. 2020 International Conference on Intelligent Engineering and Management (ICIEM) (2020)

    Google Scholar 

  6. Velleman, P., Hoaglin, D.: Applications, Basics, and Computing of Exploratory Data Analysis. Duxbury Press, Ithaca (1981)

    Google Scholar 

  7. Alves, C., Cota, M., Castro, M.: MLV-viewer: views with mining of data in decision support systems MLV-Viewer: data mining visualizations in decision support system. In: 2020 15th Iberian Conference on Information Systems and Technologies (CISTI) (2020)

    Google Scholar 

  8. OECO: what is a forest. https://www.oeco.org.br/dicionario-ambiental/29004-o-que-e-uma-floresta/. Accessed 15 Nov 2020

  9. Fearnside, M.: Deforestation in the Brazilian Amazon: History, Indices and Consequences.

    Google Scholar 

  10. Fleury, P.: Strategic transport management. http://www.remade.com.br/br/revistadamadeira_materia.php?num=558&subject=Transporte. Accessed 21 Nov 2016

  11. Machado, C., Pereira., R., Sant’Anna, G.: Forest roads: the determining in forest road transport (2003). http://www.remade.com.br/br/revistadamadeira_materia.php?num=367&subject=E%20mais&title=Estradas%20florestais:%20o%20fator%20determinante%20do%20transporte%20rodovi%E1rio%20florestal. Accessed 15 Nov 2020

  12. Pereira, D., Santos, D., Vedoveto, M., Guimarães, J., Veríssimo, A.: Amazon Forest Facts 2010. Amazon Institute of Man and Environment - Imazon. Belém – Brazil (2010), http://ift.org.br/wp-content/uploads/2014/11/FatosFlorestais_2010.pdf. Accessed 15 Apr 2021

  13. Pereira, P., Ramos, J., Pereira, M., Schmidt, V.: Forest exploitation planning: a study in Brazilian Amazon. https://www.brazilianjournals.com/index.php/BRJD/article/view/3687/3494. Accessed 15 Mar 202021/03/15.

  14. Berger, R.R., Carnieri, C., Lacowicz, P., Junior, P., Brasil, A.: Forestry transportation costs minimization using linear programming.https://revistas.ufpr.br/floresta/article/view/2277/1902. Accessed 10 Apr 2021

  15. Juvenal, T., Mattos, R.: The forest sector in Brazil and the importance of reforestation, Rio de Janeiro (2002)

    Google Scholar 

  16. Passos, A., Dalfovo, W., Rosa, M.: Cost of legality in loggin in the state of Mato Grosso: implementation of forest management. https://journals.openedition.org/confins/29756. Accessed 15 Apr 2021

  17. Bona, D., Silva, D., Pinheiro, L., Silva, E., Chichorro, J., Basso, M.: Income/cost of forestry exploration activity in a sustainable forest management plan in Amazonia – case study, https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/1807. Accessed 08 Apr 2021

  18. Biazatti, S., Mora, R., Sccoti, M., Junior, J., Souza, L.A., Souza, L.: Planning and forest production in concession area in the western amazon. https://www.brazilianjournals.com/index.php/BRJD/article/view/2317/2326. Accessed 09 Apr 2021

  19. Pinagé, E., Keller, M., Dos-Santos, M., Spinelli-Araújo, L., Longo, M.: Temporal evaluation of logging effects using Lidar data. In: Proceedings XVII Brazilian Symposium on Remote Sensing - SBSR (2015). https://ainfo.cnptia.embrapa.br/digital/bitstream/item/123636/1/3092.pdf. Accessed 09 Apr 2021

  20. Pegorare, A.B., Mendes, D.R.F., Moraes, P.M.D., Costa, R.B.D., Constantino, M.: ANÁLISE DO IMPACTO DA PRODUÇÃO FLORESTAL NO DESENVOLVIMENTO ECONÔMICO E AMBIENTAL DE MATO GROSSO DO SUL. Revista Brasileira de Agropecuária Sustentável 8(4), 9–18 (2018). https://doi.org/10.21206/rbas.v8i4.3032

    Article  Google Scholar 

  21. Silva, F., Robert, R., Santos, A., Mendonça, S.: Quantification and assessment of the main forest species licensed for exploitation in the state of acre from 2005 to 2012. https://doi.org/10.1590/2179-8087.026212. Accessed 09 Apr 2021

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matias Emir Luemba .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luemba, M.E., Kunzayila, N., Casaca, W. (2021). Exploratory Analysis and Visualization of Brazilian Forest Data from the Forest Document System of the Brazilian Institute of the Environment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12953. Springer, Cham. https://doi.org/10.1007/978-3-030-86976-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-86976-2_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86975-5

  • Online ISBN: 978-3-030-86976-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics