Matches in SemOpenAlex for { <https://semopenalex.org/work/W2005711208> ?p ?o ?g. }
- W2005711208 endingPage "79" @default.
- W2005711208 startingPage "60" @default.
- W2005711208 abstract "This paper serves two goals. The first part shows how mass evolution processes of different nature become undistinguishable once we take a size-limited, noisy sample of its compositional fingerprint: processes of exponential decay, mass mixture and complementary accumulation are simulated, and then samples contaminated with noise are extracted. The aim of this exercise is to illustrate the limitations of typical graphical representations and statistical methods when dealing with compositional data, i.e. data in percentages, concentrations or proportions. The second part presents a series of concepts, tools and methods to represent and statistically treat a compositional data set attending to these limitations. The aim of this second part is to offer a state-of-the-art Compositional Data Analysis. This includes: descriptive statistics and graphics (the biplot); ternary diagrams with confidence regions for the mean; regression and ANalysis-Of-VAriance models to explain compositional variability; and the use of compositional information to predict environmental covariables or discriminate between groups. All these tools share a four-step algorithm: (1) transform compositions with an invertible log-ratio transformation; (2) apply a statistical method to the transformed scores; (3) back-transform the results to compositions; and (4) interpret results in relative terms. Using these techniques, a data set of sand petrographic composition has been analyzed, highlighting that: finer sands are richer in single-crystal grains in relation to polycrystalline grains, and that grain-size accounts for almost all compositional variability; a stronger water flow (river discharge) favors mica grains against quartz or rock fragment grains, possibly due to hydrodynamic sorting effects; a higher relief ratio implies shorter residence times, which may favor survival of micas and rock fragments, relatively more labile grains." @default.
- W2005711208 created "2016-06-24" @default.
- W2005711208 creator A5080950597 @default.
- W2005711208 date "2012-12-01" @default.
- W2005711208 modified "2023-09-24" @default.
- W2005711208 title "Uses and misuses of compositional data in sedimentology" @default.
- W2005711208 cites W1495073843 @default.
- W2005711208 cites W1565234293 @default.
- W2005711208 cites W1965701586 @default.
- W2005711208 cites W1966067801 @default.
- W2005711208 cites W1966359547 @default.
- W2005711208 cites W1977377912 @default.
- W2005711208 cites W1979171622 @default.
- W2005711208 cites W1980498694 @default.
- W2005711208 cites W1985879255 @default.
- W2005711208 cites W1992002291 @default.
- W2005711208 cites W1993733065 @default.
- W2005711208 cites W1995254355 @default.
- W2005711208 cites W1999296654 @default.
- W2005711208 cites W2004773924 @default.
- W2005711208 cites W2005584905 @default.
- W2005711208 cites W2006703366 @default.
- W2005711208 cites W2009009124 @default.
- W2005711208 cites W2015868204 @default.
- W2005711208 cites W2015876559 @default.
- W2005711208 cites W2016372936 @default.
- W2005711208 cites W2021484408 @default.
- W2005711208 cites W2022080111 @default.
- W2005711208 cites W2022235054 @default.
- W2005711208 cites W2023966247 @default.
- W2005711208 cites W2024815843 @default.
- W2005711208 cites W2026420692 @default.
- W2005711208 cites W2034249983 @default.
- W2005711208 cites W2038244190 @default.
- W2005711208 cites W2038735877 @default.
- W2005711208 cites W2046442667 @default.
- W2005711208 cites W2050451609 @default.
- W2005711208 cites W2051384456 @default.
- W2005711208 cites W2053753926 @default.
- W2005711208 cites W2054934915 @default.
- W2005711208 cites W2056019912 @default.
- W2005711208 cites W2059797972 @default.
- W2005711208 cites W2061169661 @default.
- W2005711208 cites W2062312345 @default.
- W2005711208 cites W2063098156 @default.
- W2005711208 cites W2068951947 @default.
- W2005711208 cites W2070776079 @default.
- W2005711208 cites W2076415654 @default.
- W2005711208 cites W2076596567 @default.
- W2005711208 cites W2078112764 @default.
- W2005711208 cites W2085453327 @default.
- W2005711208 cites W2089439992 @default.
- W2005711208 cites W2093666296 @default.
- W2005711208 cites W2095421638 @default.
- W2005711208 cites W2112073377 @default.
- W2005711208 cites W2119595155 @default.
- W2005711208 cites W2120323899 @default.
- W2005711208 cites W2125358309 @default.
- W2005711208 cites W2128091490 @default.
- W2005711208 cites W2130402642 @default.
- W2005711208 cites W2153796345 @default.
- W2005711208 cites W2156643929 @default.
- W2005711208 cites W2156677459 @default.
- W2005711208 cites W2160109345 @default.
- W2005711208 cites W2160747360 @default.
- W2005711208 cites W2164595404 @default.
- W2005711208 cites W2169951582 @default.
- W2005711208 cites W355777 @default.
- W2005711208 cites W4240697027 @default.
- W2005711208 doi "https://doi.org/10.1016/j.sedgeo.2012.05.005" @default.
- W2005711208 hasPublicationYear "2012" @default.
- W2005711208 type Work @default.
- W2005711208 sameAs 2005711208 @default.
- W2005711208 citedByCount "40" @default.
- W2005711208 countsByYear W20057112082012 @default.
- W2005711208 countsByYear W20057112082013 @default.
- W2005711208 countsByYear W20057112082014 @default.
- W2005711208 countsByYear W20057112082015 @default.
- W2005711208 countsByYear W20057112082016 @default.
- W2005711208 countsByYear W20057112082017 @default.
- W2005711208 countsByYear W20057112082018 @default.
- W2005711208 countsByYear W20057112082019 @default.
- W2005711208 countsByYear W20057112082020 @default.
- W2005711208 countsByYear W20057112082021 @default.
- W2005711208 countsByYear W20057112082022 @default.
- W2005711208 countsByYear W20057112082023 @default.
- W2005711208 crossrefType "journal-article" @default.
- W2005711208 hasAuthorship W2005711208A5080950597 @default.
- W2005711208 hasConcept C104317684 @default.
- W2005711208 hasConcept C105795698 @default.
- W2005711208 hasConcept C118483189 @default.
- W2005711208 hasConcept C127313418 @default.
- W2005711208 hasConcept C135763542 @default.
- W2005711208 hasConcept C161584116 @default.
- W2005711208 hasConcept C177264268 @default.
- W2005711208 hasConcept C185592680 @default.
- W2005711208 hasConcept C198531522 @default.
- W2005711208 hasConcept C199163554 @default.