Evidence map›Paper›PMID 38226357›Full record

ArticleMethodsX2024

Clast shape-fabric analysis: A comprehensive and efficient methodology to measure particle-orientation data in solid and loose volcaniclastic deposits.

L A Rodríguez-Sedano, D Sarocchi, F Castillo Rivera, G Moreno-Chávez, M F Cerca-Ruiz, J A Montenegro-Ríos

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Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

L A Rodríguez-SedanoCONAHCYT-Instituto de Geología, Universidad Autónoma de San Luis Potosí, Av. Dr. M. Nava No 5 Zona Universitaria, San Luis Potosí 78240, México.
D SarocchiInstituto de Geología/Facultad de Ingeniería-UASLP, San Luis Potosí 78240, México.
F Castillo RiveraCONAHCYT-Instituto de Geología, Universidad Autónoma de San Luis Potosí, Av. Dr. M. Nava No 5 Zona Universitaria, San Luis Potosí 78240, México.
G Moreno-ChávezMaestría en Ciencias del Procesamiento de la Información, Universidad Autónoma de Zacatecas, Av. Ramón López Velarde 801, Zacatecas 98000, México.
M F Cerca-RuizInstituto de Geología/Facultad de Ingeniería-UASLP, San Luis Potosí 78240, México.
J A Montenegro-RíosInstituto de Geología/Facultad de Ingeniería-UASLP, San Luis Potosí 78240, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fabric analysis is essential for understanding the evolution of volcaniclastic deposits. Here we present a comprehensive and efficient methodology, called "Clast shape-fabric analysis," which is part of the Quantitative Textural Analysis (QTA). This methodology combines high-resolution image analysis techniques with geospatial data processing tools. The fabric of a deposit refers to the three-dimensional orientation of the particles with respect to space, where the degree of iso-orientation of the major axes of the particles is taken into account. The process begins with the collection of oriented samples in the field. Then, in the laboratory, the samples are processed to obtain high-resolution images. The final stage involves the analysis of these images using the FabricS program, which combines image processing techniques and circular statistics. An application of the method was made at the Joya Honda Maar in Mexico, where shape-fabric analysis was used to identify the emission centers of pyroclastic materials. In summary, the "Clast shape-fabric analysis" is a reliable, low-cost and high-potential methodology that can be applied in several geoscientific disciplines and other areas of scientific research.•New Methodology for shape-fabric analysis is presented.•The methodology involves field work, laboratory work and image analysis.•Identification of particle orientations in volcaniclastic deposits.

Indexed as

Clast shape-fabricParticle orientationQuantitative textural analysisShape-Fabric methodVulcanology

Identifiers

PMID38226357
PMCPMC10788254

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.