DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry

Abstract Quantitative shape analysis of juvenile pyroclasts is applied in volcanology to reconstruct the dynamics and styles of eruptions, and to explore the details of tephra transport, dispersal, and emplacement. Morphometric analyses often include comparison of multiple data sets with a set of di...

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Autores principales:	T. Dürig, L. S. Schmidt, J. D. L. White, M. H. Bowman
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ac2e343a4d8e4d999cc89fa65598e3d2
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spelling	oai:doaj.org-article:ac2e343a4d8e4d999cc89fa65598e3d22021-12-02T15:11:51ZDendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry10.1038/s41598-020-78698-02045-2322https://doaj.org/article/ac2e343a4d8e4d999cc89fa65598e3d22020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78698-0https://doaj.org/toc/2045-2322Abstract Quantitative shape analysis of juvenile pyroclasts is applied in volcanology to reconstruct the dynamics and styles of eruptions, and to explore the details of tephra transport, dispersal, and emplacement. Morphometric analyses often include comparison of multiple data sets with a set of dimensionless shape parameters. Here we present “DendroScan”, an open source Matlab program that provides the user with all the multivariate statistical methods needed to produce such morphometric comparisons. Serving as a statistical “toolbox”, DendroScan conducts Levene-, t-, and equivalence tests, presenting the results in ad hoc interpretable graphs. Furthermore, it is designed to conduct dendrogrammatic analyses of particle morphometry, a recently developed approach for the inter-comparison of multiple morphometric data sets. DendroScan produces tree diagrams, in which the analysed samples are sorted according to their morphometric dissimilarity, allowing the user to identify, e.g., samples that are statistically equivalent. To demonstrate DendroScan’s potential, ten experimental samples are compared with volcanic ash samples generated by the Havre 2012 deep-sea eruption in the Kermadec arc (New Zealand). We show how, using DendroScan-based results, information on the eruptive mechanism can be inferred, and how the cooling history of the experimental melt is reflected in the dissimilarity of thermally granulated fragments.T. DürigL. S. SchmidtJ. D. L. WhiteM. H. BowmanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q T. Dürig L. S. Schmidt J. D. L. White M. H. Bowman DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
description	Abstract Quantitative shape analysis of juvenile pyroclasts is applied in volcanology to reconstruct the dynamics and styles of eruptions, and to explore the details of tephra transport, dispersal, and emplacement. Morphometric analyses often include comparison of multiple data sets with a set of dimensionless shape parameters. Here we present “DendroScan”, an open source Matlab program that provides the user with all the multivariate statistical methods needed to produce such morphometric comparisons. Serving as a statistical “toolbox”, DendroScan conducts Levene-, t-, and equivalence tests, presenting the results in ad hoc interpretable graphs. Furthermore, it is designed to conduct dendrogrammatic analyses of particle morphometry, a recently developed approach for the inter-comparison of multiple morphometric data sets. DendroScan produces tree diagrams, in which the analysed samples are sorted according to their morphometric dissimilarity, allowing the user to identify, e.g., samples that are statistically equivalent. To demonstrate DendroScan’s potential, ten experimental samples are compared with volcanic ash samples generated by the Havre 2012 deep-sea eruption in the Kermadec arc (New Zealand). We show how, using DendroScan-based results, information on the eruptive mechanism can be inferred, and how the cooling history of the experimental melt is reflected in the dissimilarity of thermally granulated fragments.
format	article
author	T. Dürig L. S. Schmidt J. D. L. White M. H. Bowman
author_facet	T. Dürig L. S. Schmidt J. D. L. White M. H. Bowman
author_sort	T. Dürig
title	DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
title_short	DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
title_full	DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
title_fullStr	DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
title_full_unstemmed	DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
title_sort	dendroscan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ac2e343a4d8e4d999cc89fa65598e3d2
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DendroScan: an open source tool to conduct comparative statistical tests and dendrogrammatic analyses on particle morphometry

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