Understanding Geological Data Distribution and
Autor(a) principal: | |
---|---|
Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/2969 https://doi.org/10.1007/s11004-007-9118-4 |
Resumo: | Insufficient field test results and a sufficiently large degree of spatial disorder exhibited by melt flow properties on sheared migmatites leads us to use stochastic methods to describe the distribution and orientation of leucogranitoid veins in sheared continental crust. Qualitative data present challenges to evaluators seeking to analyse visual information from spatial observations. In this manuscript, we work through a structured approach to analyse qualitative data based on an interactive process of considering the objective of the analysis, reviewing suitable options, and working through interpretation. Techniques include grouping, summarizing, finding patterns, discovering relationships, and developing and testing relationships. The aim of this paper is to give an overview of the methodological contribution in multidimensional categorical data analysis based on correspondence analysis, which enables the analysis of a contingency table when the behaviour of one variable is supposed to be dependent on the other cross-classified variable. The analytical procedures gave statistically valid and significantly similar results for the geometrical relationships between different attributes observed in the Almansor migmatites (Évora High-Grade Metamorphic Terrains, Portugal)—leucogranitoid veins, boudins/rock fragments, folds, shear planes, and host rock/diatexite layering. The interpretation of the obtained results allowed the definition of two main geological implications. First, the association of the host rock/diatexite with the leucogranitoids I defines the compositional layering of these migmatites (with 290°–310°-trending). Secondly, the shearing is responsible for the observed structural complexity. Here leucogranitoids tend to occur associated with local perturbations of the main 290°–310°-trending of the compositional layering. They tend to occur discordant to the compositional layering (foliation) strike filling 260°–270°-trending c′-type extensional shear planes, filling dilatant structures in between or/and surrounding boudins/rock fragments and affected by folding. The applied stochastic analysis was a useful approach to properly examine and quantify the structural variability of this complex natural phenomenon. |
id |
RCAP_836dc008afc7604feac78afff1463456 |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/2969 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Understanding Geological Data Distribution andContingency tableMultivariate analysisNon-symmetryMigmatitesShearingMelt flowInsufficient field test results and a sufficiently large degree of spatial disorder exhibited by melt flow properties on sheared migmatites leads us to use stochastic methods to describe the distribution and orientation of leucogranitoid veins in sheared continental crust. Qualitative data present challenges to evaluators seeking to analyse visual information from spatial observations. In this manuscript, we work through a structured approach to analyse qualitative data based on an interactive process of considering the objective of the analysis, reviewing suitable options, and working through interpretation. Techniques include grouping, summarizing, finding patterns, discovering relationships, and developing and testing relationships. The aim of this paper is to give an overview of the methodological contribution in multidimensional categorical data analysis based on correspondence analysis, which enables the analysis of a contingency table when the behaviour of one variable is supposed to be dependent on the other cross-classified variable. The analytical procedures gave statistically valid and significantly similar results for the geometrical relationships between different attributes observed in the Almansor migmatites (Évora High-Grade Metamorphic Terrains, Portugal)—leucogranitoid veins, boudins/rock fragments, folds, shear planes, and host rock/diatexite layering. The interpretation of the obtained results allowed the definition of two main geological implications. First, the association of the host rock/diatexite with the leucogranitoids I defines the compositional layering of these migmatites (with 290°–310°-trending). Secondly, the shearing is responsible for the observed structural complexity. Here leucogranitoids tend to occur associated with local perturbations of the main 290°–310°-trending of the compositional layering. They tend to occur discordant to the compositional layering (foliation) strike filling 260°–270°-trending c′-type extensional shear planes, filling dilatant structures in between or/and surrounding boudins/rock fragments and affected by folding. The applied stochastic analysis was a useful approach to properly examine and quantify the structural variability of this complex natural phenomenon.2011-12-21T18:04:10Z2011-12-212007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/2969http://hdl.handle.net/10174/2969https://doi.org/10.1007/s11004-007-9118-4engMathematical Geologympereira@uevora.ptnd250Pereira, M. FranciscoLucio, Pauloinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T18:39:44Zoai:dspace.uevora.pt:10174/2969Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:58:30.732042Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Understanding Geological Data Distribution and |
title |
Understanding Geological Data Distribution and |
spellingShingle |
Understanding Geological Data Distribution and Pereira, M. Francisco Contingency table Multivariate analysis Non-symmetry Migmatites Shearing Melt flow |
title_short |
Understanding Geological Data Distribution and |
title_full |
Understanding Geological Data Distribution and |
title_fullStr |
Understanding Geological Data Distribution and |
title_full_unstemmed |
Understanding Geological Data Distribution and |
title_sort |
Understanding Geological Data Distribution and |
author |
Pereira, M. Francisco |
author_facet |
Pereira, M. Francisco Lucio, Paulo |
author_role |
author |
author2 |
Lucio, Paulo |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Pereira, M. Francisco Lucio, Paulo |
dc.subject.por.fl_str_mv |
Contingency table Multivariate analysis Non-symmetry Migmatites Shearing Melt flow |
topic |
Contingency table Multivariate analysis Non-symmetry Migmatites Shearing Melt flow |
description |
Insufficient field test results and a sufficiently large degree of spatial disorder exhibited by melt flow properties on sheared migmatites leads us to use stochastic methods to describe the distribution and orientation of leucogranitoid veins in sheared continental crust. Qualitative data present challenges to evaluators seeking to analyse visual information from spatial observations. In this manuscript, we work through a structured approach to analyse qualitative data based on an interactive process of considering the objective of the analysis, reviewing suitable options, and working through interpretation. Techniques include grouping, summarizing, finding patterns, discovering relationships, and developing and testing relationships. The aim of this paper is to give an overview of the methodological contribution in multidimensional categorical data analysis based on correspondence analysis, which enables the analysis of a contingency table when the behaviour of one variable is supposed to be dependent on the other cross-classified variable. The analytical procedures gave statistically valid and significantly similar results for the geometrical relationships between different attributes observed in the Almansor migmatites (Évora High-Grade Metamorphic Terrains, Portugal)—leucogranitoid veins, boudins/rock fragments, folds, shear planes, and host rock/diatexite layering. The interpretation of the obtained results allowed the definition of two main geological implications. First, the association of the host rock/diatexite with the leucogranitoids I defines the compositional layering of these migmatites (with 290°–310°-trending). Secondly, the shearing is responsible for the observed structural complexity. Here leucogranitoids tend to occur associated with local perturbations of the main 290°–310°-trending of the compositional layering. They tend to occur discordant to the compositional layering (foliation) strike filling 260°–270°-trending c′-type extensional shear planes, filling dilatant structures in between or/and surrounding boudins/rock fragments and affected by folding. The applied stochastic analysis was a useful approach to properly examine and quantify the structural variability of this complex natural phenomenon. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-01-01T00:00:00Z 2011-12-21T18:04:10Z 2011-12-21 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/2969 http://hdl.handle.net/10174/2969 https://doi.org/10.1007/s11004-007-9118-4 |
url |
http://hdl.handle.net/10174/2969 https://doi.org/10.1007/s11004-007-9118-4 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Mathematical Geology mpereira@uevora.pt nd 250 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799136467809730560 |