FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2767514209> ?p ?o ?g. }

• W2767514209 endingPage "26" @default.
• W2767514209 startingPage "14" @default.
• W2767514209 abstract "Garnet chemistry provides a well-established tool in the discrimination and interpretation of sediment provenance. Current discrimination approaches, however, (i) suffer from using less variables than available, (ii) subjective determination of discrimination fields with strict boundaries suggesting clear separations where in fact probabilities are converging, and (iii) significant overlap of compositional fields of garnet from different host-rock groups. The new multivariate discrimination scheme is based on a large database, a hierarchical discrimination approach involving three steps, linear discriminant analysis at each step, and the five major host-rock groups to be discriminated: eclogite- (A), amphibolite- (B) and granulite- (C) facies metamorphic rocks as well as ultramafic (D) and igneous rocks (E). The successful application of statistical discrimination approaches requires consideration of the a priori knowledge of the respective geologic setting. This is accounted for by the use of prior probabilities. Three sets of prior probabilities (priors) are introduced and their advantages and disadvantages are discussed. The user is free to choose among these priors, which can be further modified according to the specific geologic problem and the level of a priori knowledge. The discrimination results are provided as integrated probabilities of belonging to the five major host-rock groups. For performing calculations and results a supplementary Excel® spreadsheet is provided. The discrimination scheme has been tested for a large variety of examples of crystalline rocks covering all of the five major groups and several subgroups from various geologic settings. In most cases, garnets are assigned correctly to the respective group. Exceptions typically reflect the peculiarities of the regional geologic situation. Evaluation of detrital garnets from modern and ancient sedimentary settings of the Western Gneiss Region (Norway), Eastern Alps (Austria) and Albertine Rift (Uganda) demonstrates the power to reflect the respective geologic situations and corroborates previous results. As most garnet is derived from metamorphic rocks and many provenance studies aim at reconstructing the tectonic and geodynamic evolution in the source area, the approach and the examples emphasize discrimination of metamorphic facies (i.e., temperature-pressure conditions) rather than protolith composition." @default.
• W2767514209 created "2017-11-17" @default.
• W2767514209 creator A5008893290 @default.
• W2767514209 creator A5075405892 @default.
• W2767514209 creator A5080950597 @default.
• W2767514209 creator A5086372466 @default.
• W2767514209 date "2018-11-01" @default.
• W2767514209 modified "2023-09-25" @default.
• W2767514209 title "A multivariate discrimination scheme of detrital garnet chemistry for use in sedimentary provenance analysis" @default.
• W2767514209 cites W1642383361 @default.
• W2767514209 cites W1649807328 @default.
• W2767514209 cites W1782049738 @default.
• W2767514209 cites W1875221788 @default.
• W2767514209 cites W1964829654 @default.
• W2767514209 cites W1967561279 @default.
• W2767514209 cites W1974607191 @default.
• W2767514209 cites W1988828197 @default.
• W2767514209 cites W2000735125 @default.
• W2767514209 cites W2001698542 @default.
• W2767514209 cites W2002392349 @default.
• W2767514209 cites W2004987484 @default.
• W2767514209 cites W2005711208 @default.
• W2767514209 cites W2006561375 @default.
• W2767514209 cites W2015239163 @default.
• W2767514209 cites W2018865979 @default.
• W2767514209 cites W2019488403 @default.
• W2767514209 cites W2025359583 @default.
• W2767514209 cites W2035227403 @default.
• W2767514209 cites W2049561582 @default.
• W2767514209 cites W2055001764 @default.
• W2767514209 cites W2059513771 @default.
• W2767514209 cites W2061052141 @default.
• W2767514209 cites W2074606538 @default.
• W2767514209 cites W2076323377 @default.
• W2767514209 cites W2079899789 @default.
• W2767514209 cites W2087510774 @default.
• W2767514209 cites W2088272841 @default.
• W2767514209 cites W2091304021 @default.
• W2767514209 cites W2109814545 @default.
• W2767514209 cites W2140357269 @default.
• W2767514209 cites W2142872845 @default.
• W2767514209 cites W2156643929 @default.
• W2767514209 cites W2175680701 @default.
• W2767514209 cites W2285278943 @default.
• W2767514209 cites W2329930404 @default.
• W2767514209 cites W2339246418 @default.
• W2767514209 cites W2508312165 @default.
• W2767514209 cites W2586808483 @default.
• W2767514209 cites W2586952014 @default.
• W2767514209 doi "https://doi.org/10.1016/j.sedgeo.2017.11.003" @default.
• W2767514209 hasPublicationYear "2018" @default.
• W2767514209 type Work @default.
• W2767514209 sameAs 2767514209 @default.
• W2767514209 citedByCount "33" @default.
• W2767514209 countsByYear W27675142092018 @default.
• W2767514209 countsByYear W27675142092019 @default.
• W2767514209 countsByYear W27675142092020 @default.
• W2767514209 countsByYear W27675142092021 @default.
• W2767514209 countsByYear W27675142092022 @default.
• W2767514209 countsByYear W27675142092023 @default.
• W2767514209 crossrefType "journal-article" @default.
• W2767514209 hasAuthorship W2767514209A5008893290 @default.
• W2767514209 hasAuthorship W2767514209A5075405892 @default.
• W2767514209 hasAuthorship W2767514209A5080950597 @default.
• W2767514209 hasAuthorship W2767514209A5086372466 @default.
• W2767514209 hasBestOaLocation W27675142092 @default.
• W2767514209 hasConcept C107673813 @default.
• W2767514209 hasConcept C109007969 @default.
• W2767514209 hasConcept C111472728 @default.
• W2767514209 hasConcept C127313418 @default.
• W2767514209 hasConcept C138885662 @default.
• W2767514209 hasConcept C146588470 @default.
• W2767514209 hasConcept C151730666 @default.
• W2767514209 hasConcept C154945302 @default.
• W2767514209 hasConcept C17409809 @default.
• W2767514209 hasConcept C177769412 @default.
• W2767514209 hasConcept C178790620 @default.
• W2767514209 hasConcept C185592680 @default.
• W2767514209 hasConcept C195081551 @default.
• W2767514209 hasConcept C199289684 @default.
• W2767514209 hasConcept C26687426 @default.
• W2767514209 hasConcept C2780049196 @default.
• W2767514209 hasConcept C2781311116 @default.
• W2767514209 hasConcept C41008148 @default.
• W2767514209 hasConcept C42787717 @default.
• W2767514209 hasConcept C69738355 @default.
• W2767514209 hasConcept C75553542 @default.
• W2767514209 hasConceptScore W2767514209C107673813 @default.
• W2767514209 hasConceptScore W2767514209C109007969 @default.
• W2767514209 hasConceptScore W2767514209C111472728 @default.
• W2767514209 hasConceptScore W2767514209C127313418 @default.
• W2767514209 hasConceptScore W2767514209C138885662 @default.
• W2767514209 hasConceptScore W2767514209C146588470 @default.
• W2767514209 hasConceptScore W2767514209C151730666 @default.
• W2767514209 hasConceptScore W2767514209C154945302 @default.
• W2767514209 hasConceptScore W2767514209C17409809 @default.
• W2767514209 hasConceptScore W2767514209C177769412 @default.
• W2767514209 hasConceptScore W2767514209C178790620 @default.

• next