The concept of compositional data analysis in practice - Total major element concentrations in agricultural and grazing land soils in Europe

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F12%3A33141590" target="_blank" >RIV/61989592:15310/12:33141590 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.scitotenv.2012.02.032" target="_blank" >http://dx.doi.org/10.1016/j.scitotenv.2012.02.032</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.scitotenv.2012.02.032" target="_blank" >10.1016/j.scitotenv.2012.02.032</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The concept of compositional data analysis in practice - Total major element concentrations in agricultural and grazing land soils in Europe

Popis výsledku v původním jazyce

Applied geochemistry and environmental sciences invariably deal with compositional data. Classically, the original or log-transformed absolute element concentrations are studied. However, compositional data do not vary independently, and a concentrationbased approach to data analysis can lead to faulty conclusions. For this reason a better statistical approach was introduced in the 1980s, exclusively based on relative information. Because the difference between the two methods should be most pronouncedin large-scale, and therefore highly variable, datasets, here a new dataset of agricultural soils, covering all of Europe (5.6 million km2) at an average sampling density of 1 site/2500 km2, is used to demonstrate and compare both approaches. Absolute element concentrations are certainly of interest in a variety of applications and can be provided in tabulations or concentration maps. Maps for the opened data (ratios to other elements) provide more specific additional information. For c

Název v anglickém jazyce

The concept of compositional data analysis in practice - Total major element concentrations in agricultural and grazing land soils in Europe

Popis výsledku anglicky

Applied geochemistry and environmental sciences invariably deal with compositional data. Classically, the original or log-transformed absolute element concentrations are studied. However, compositional data do not vary independently, and a concentrationbased approach to data analysis can lead to faulty conclusions. For this reason a better statistical approach was introduced in the 1980s, exclusively based on relative information. Because the difference between the two methods should be most pronouncedin large-scale, and therefore highly variable, datasets, here a new dataset of agricultural soils, covering all of Europe (5.6 million km2) at an average sampling density of 1 site/2500 km2, is used to demonstrate and compare both approaches. Absolute element concentrations are certainly of interest in a variety of applications and can be provided in tabulations or concentration maps. Maps for the opened data (ratios to other elements) provide more specific additional information. For c

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Science of the Total Environment

ISSN

0048-9697

e-ISSN

—

Svazek periodika

426

Číslo periodika v rámci svazku

duben

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

196-210

Kód UT WoS článku

000304795300023

EID výsledku v databázi Scopus

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