Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina

Autores
Esper Angillieri, María Yanina
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study employs statistical modeling techniques and geomorphological mapping to analyze the distribution of active rock glaciers in relation to altitude, aspect, slope, lithology and solar radiation using optical remote sensing techniques with GIS. The study area includes a portion of the Dry Andes of the Cordillera Frontal of San Juan around 30°S latitude, where few geomorphological studies have been conducted. Over 155 rock glaciers have been identified, and 85 are considered active. The relationship between the variables and the rock glaciers distribution was analyzed using the frequency ratio method and logistic regression models. The analytical results show that elevations > 3824 m a.s.l., a south-facing or east-facing aspect, areas with relatively low solar radiation, and slope between 2° and 20° favor the existence of the rock glaciers, and demonstrate that lithology and slope exert major influences.
Fil: Esper Angillieri, María Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
Materia
Argentina
Cordillera Frontal
Frequency Ratio
Landform Distribution
Logistic Regression
Rock Glacier
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/53544
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/53544
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, ArgentinaEsper Angillieri, María YaninaArgentinaCordillera FrontalFrequency RatioLandform DistributionLogistic RegressionRock Glacierhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This study employs statistical modeling techniques and geomorphological mapping to analyze the distribution of active rock glaciers in relation to altitude, aspect, slope, lithology and solar radiation using optical remote sensing techniques with GIS. The study area includes a portion of the Dry Andes of the Cordillera Frontal of San Juan around 30°S latitude, where few geomorphological studies have been conducted. Over 155 rock glaciers have been identified, and 85 are considered active. The relationship between the variables and the rock glaciers distribution was analyzed using the frequency ratio method and logistic regression models. The analytical results show that elevations > 3824 m a.s.l., a south-facing or east-facing aspect, areas with relatively low solar radiation, and slope between 2° and 20° favor the existence of the rock glaciers, and demonstrate that lithology and slope exert major influences.Fil: Esper Angillieri, María Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; ArgentinaElsevier Science2010-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/53544Esper Angillieri, María Yanina; Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina; Elsevier Science; Geomorphology; 114; 3; 1-2010; 396-4050169-555XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169555X09003298info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geomorph.2009.08.003info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:20:05Zoai:ri.conicet.gov.ar:11336/53544instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:20:05.834CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
title Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
spellingShingle Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
Esper Angillieri, María Yanina
Argentina
Cordillera Frontal
Frequency Ratio
Landform Distribution
Logistic Regression
Rock Glacier
title_short Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
title_full Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
title_fullStr Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
title_full_unstemmed Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
title_sort Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina
dc.creator.none.fl_str_mv Esper Angillieri, María Yanina
author Esper Angillieri, María Yanina
author_facet Esper Angillieri, María Yanina
author_role author
dc.subject.none.fl_str_mv Argentina
Cordillera Frontal
Frequency Ratio
Landform Distribution
Logistic Regression
Rock Glacier
topic Argentina
Cordillera Frontal
Frequency Ratio
Landform Distribution
Logistic Regression
Rock Glacier
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This study employs statistical modeling techniques and geomorphological mapping to analyze the distribution of active rock glaciers in relation to altitude, aspect, slope, lithology and solar radiation using optical remote sensing techniques with GIS. The study area includes a portion of the Dry Andes of the Cordillera Frontal of San Juan around 30°S latitude, where few geomorphological studies have been conducted. Over 155 rock glaciers have been identified, and 85 are considered active. The relationship between the variables and the rock glaciers distribution was analyzed using the frequency ratio method and logistic regression models. The analytical results show that elevations > 3824 m a.s.l., a south-facing or east-facing aspect, areas with relatively low solar radiation, and slope between 2° and 20° favor the existence of the rock glaciers, and demonstrate that lithology and slope exert major influences.
Fil: Esper Angillieri, María Yanina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina
description This study employs statistical modeling techniques and geomorphological mapping to analyze the distribution of active rock glaciers in relation to altitude, aspect, slope, lithology and solar radiation using optical remote sensing techniques with GIS. The study area includes a portion of the Dry Andes of the Cordillera Frontal of San Juan around 30°S latitude, where few geomorphological studies have been conducted. Over 155 rock glaciers have been identified, and 85 are considered active. The relationship between the variables and the rock glaciers distribution was analyzed using the frequency ratio method and logistic regression models. The analytical results show that elevations > 3824 m a.s.l., a south-facing or east-facing aspect, areas with relatively low solar radiation, and slope between 2° and 20° favor the existence of the rock glaciers, and demonstrate that lithology and slope exert major influences.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/53544
Esper Angillieri, María Yanina; Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina; Elsevier Science; Geomorphology; 114; 3; 1-2010; 396-405
0169-555X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/53544
identifier_str_mv Esper Angillieri, María Yanina; Application of frequency ratio and logistic regression to active rock glacier occurrence in the Andes of San Juan, Argentina; Elsevier Science; Geomorphology; 114; 3; 1-2010; 396-405
0169-555X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169555X09003298
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.geomorph.2009.08.003
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083349771190272
score 13.22299

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