PRINCIPAL COMPONENTS ANALYSIS APPLIED TO DENDROCHRONOLOGY

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DOI:

https://doi.org/10.21680/2447-3359.2022v8n1ID24096

Abstract

This work uses samples of the species Imbuia, (Ocotea porosa (Nees & Mart) Barroso), collected in the city of General Carneiro, southeastern region of the State of Paraná (26º24'01 25 "S 51º24'03 91" W), Brazil, for generate the dendrochronological series of this region. The samples selected for this study were obtained through Cluster Analysis, which classifies objects (samples) based on their similarities. In order to obtain the dendrochronological series, the Principal Component Analysis (PCA) statistical method was applied. After obtaining the Principal Components (PCs), the series were reconstructed without the 1st PC, which is an estimate of the trend that best represents the natural growth of all trees in the place. The average of the series without the 1st PC is the dendrochronological series. The PCA method has several advantages over the traditional method of obtaining the time series, such as rapid data processing, an automated way to remove the natural growth trend in all samples at the same time, and also the fact of integrating a tool Alternating Least Squares (ALS) method to estimate or recover data failures.

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Author Biographies

Silva, D. O., Universidade do Vale do Paraíba

Graduated in Environmental and Sanitary Engineering from the University of Vale do Paraíba - UNIVAP (2016), with emphasis on Atmospheric Studies (Assessment of Atmospheric Environmental Impact) under the supervision of Dr. Eduardo Jorge de Brito Bastos and Doctor Alessandra Abe Pacini. CAPES scholarship holder at the Research and Development Institute (IP&D) at the University of Vale do Paraíba (UNIVAP) during the master's degree of the Postgraduate Program in Physics and Astronomy (PPGFA), under the guidance of Doctor Alan Prestes (Advisor) and Doctor Virginia Klausner de Oliveira (Co-supervisor), in the area of ??Space Physics / Geophysics, with a focus on Natural Records (Dendrochronology), Sun-Earth Relationship, Reconstruction of Atmospheric Patterns of the Past Climate (Dendroclimatology) and, Time Series Analysis. Currently a PhD student in the Graduate Program in Physics and Astronomy (PPGFA) under the guidance of Doctor Virginia Klausner de Oliveira (Advisor) and Doctor Alan Prestes (Co-supervisor) in the same area studied and focus similar to that of the master's degree.

Klausner, V., Universidade do Vale do Paraíba

Coordinator of the Electrical Engineering course at the Faculty of Engineering, Architecture and Urbanism - FEAU, at the University of Vale do Paraíba? Univap since 2017. Currently, she is also a member of the postgraduate program in Physics and Astronomy and the postgraduate program in Biomedical Engineering at the Research and Development Institute (IP & D). She has a degree in Electrical Engineering (2005) and a Masters in Physics and Astronomy from the University of Vale do Paraíba (2007), and a PhD in geophysics at the National Observatory in Rio de Janeiro (2012). She works in the signal processing area, having experience in the use, development and improvement of Wavelet analysis tools, empirical orthogonal functions, Hilbert-Huang transform, fourier transform, statistical methods, signal filtering techniques, among others. Also, he has experience in the field of Geosciences, with an emphasis on Aeronomy and Space Geophysics, acting mainly on the following themes: ionosphere, ionosphere, region f, gravity waves, geomagnetism, geomagnetic storms, magnetic fields induced by tsunamis and space climate. Currently, the researcher has 27 scientific articles in journals with selective editorial policy where ~ 50% of them are the first author, and ~ 30% are the second author, which demonstrates her independence in the scientific career. Also, she participated in the University Extension Project Rondon Project-Operation João de Barro, in Santa Rosa do Piauí-PI, in 2019.

Prestes, A., Universidade do Vale do Paraíba

Coordinator of the Electrical Engineering course at the Faculty of Engineering, Architecture and Urbanism - FEAU, at the University of Vale do Paraíba? Univap since 2017. Currently, she is also a member of the postgraduate program in Physics and Astronomy and the postgraduate program in Biomedical Engineering at the Research and Development Institute (IP & D). She has a degree in Electrical Engineering (2005) and a Masters in Physics and Astronomy from the University of Vale do Paraíba (2007), and a PhD in geophysics at the National Observatory in Rio de Janeiro (2012). She works in the signal processing area, having experience in the use, development and improvement of Wavelet analysis tools, empirical orthogonal functions, Hilbert-Huang transform, fourier transform, statistical methods, signal filtering techniques, among others. Also, he has experience in the field of Geosciences, with an emphasis on Aeronomy and Space Geophysics, acting mainly on the following themes: ionosphere, ionosphere, region f, gravity waves, geomagnetism, geomagnetic storms, magnetic fields induced by tsunamis and space climate. Currently, the researcher has 27 scientific articles in journals with selective editorial policy where ~ 50% of them are the first author, and ~ 30% are the second author, which demonstrates her independence in the scientific career. Also, she participated in the University Extension Project Rondon Project-Operation João de Barro, in Santa Rosa do Piauí-PI, in 2019.

Macedo, H. G., Universidade do Vale do Paraíba

Graduating in Computer Engineering from the University of Vale do Paraíba (UNIVAP). Undergraduate student at the Physics and Astronomy Laboratory of the Research and Development Institute (IP&D) with a FAPESP grant for the project "Analysis of Solar Radio Emissions Through Application of Wavelets", from September 2015 to August 2017, and PIBIC for the same project, from September 2017 to July 2018. He completed a period of mobility (sandwich graduation) at the Faculty of Engineering of the University of Porto (FEUP) in the courses of Electrical and Computer Engineering and Computer Engineering as a fellow in the Ibero scholarship program American companies promoted by Santander. He has experience in the area of signal processing, with emphasis on the implementation of algorithms that use the Fourier and Wavelet transforms to solve problems in Physics and Engineering.

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Published

14-06-2022

How to Cite

OLIVEIRA DA SILVA, D.; KLAUSNER, V.; PRESTES, A.; GIMENES MACEDO, H. PRINCIPAL COMPONENTS ANALYSIS APPLIED TO DENDROCHRONOLOGY. Notheast Geoscience Journal, [S. l.], v. 8, n. 1, p. 227–230, 2022. DOI: 10.21680/2447-3359.2022v8n1ID24096. Disponível em: https://periodicos.ufrn.br/revistadoregne/article/view/24096. Acesso em: 27 jul. 2024.

Issue

Vol. 8 No. 1 (2022)

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Artigos

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