Exploring patterns in dendrochronological data through cluster analysis

Página do item simplificado
dc.contributor.authorMuraja, Daniela Oliveira Silva
dc.contributor.authorLeite, Cecília Lemes
dc.contributor.authorKlausner, Virginia
dc.contributor.authorPrestes, Alan
dc.contributor.authorSilva, Iuri Rojahn da
dc.date.accessioned2025-02-06T14:20:07Z
dc.date.available2025-02-06T14:20:07Z
dc.date.issued22024
dc.description.abstractThis study employed the dendrogram methodology to analyze time series data obtained from measuring tree growth rings. A total of 64 samples were collected from 21 individual trees. Polynomials were applied to filter the natural growth pattern of the trees and enhance the impact of external factors, such as climate influences. Cluster analysis using Ward's minimum variance and Euclidean squared distance was utilized to group the data based on similarity. Three dendrograms were constructed, consisting of 10, 47, and 64 samples, respectively. The analysis revealed that the samples with the highest correlations, encompassing over 95% of the total samples, formed homogeneous groups. Pearson correlation was also employed to confirm the results obtained from the dendrograms. Consequently, it can be affirmed that the most suitable samples were utilized in constructing the average chronology from the available data.
dc.description.physical10 p.
dc.format.mimetypePDF
dc.identifier.affiliationUniversidade do Vale do Paraíba
dc.identifier.bibliographicCitationMuraja, Daniela Oliveira Silva et al. Exploring patterns in dendrochronological data through cluster analysis. Floresta, v. 54, n. 1, p. 1-10, 2024. Disponível em: https://revistas.ufpr.br/floresta/article/view/91509/51437.
dc.identifier.doi10.5380/rf.v54.91509
dc.identifier.urihttps://repositorio.univap.br/handle/123456789/551
dc.language.isoen_US
dc.publisherUniversidade Federal do Paraná
dc.rights.holderDaniela Oliveira Silva Muraja
dc.rights.holderCecília Lemes Leite
dc.rights.holderVirginia Klausner
dc.rights.holderAlan Prestes
dc.rights.holderIuri Rojahn da Silva
dc.subject.keywordDendrochronology
dc.subject.keywordDendrogram
dc.subject.keywordTree Growth Ring
dc.titleExploring patterns in dendrochronological data through cluster analysis
dc.typeArtigos de Periódicos

Arquivos

Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Exploring patterns in dendrochronological data through cluster analysis.pdf
Tamanho:
529.76 KB
Formato:
Adobe Portable Document Format
Baixar
Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Baixar

Coleções

Produção acadêmica-PPGFA