An R package for identification of outliers in environmental time series data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU144796" target="_blank" >RIV/00216305:26110/22:PU144796 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43110/22:43921534 RIV/44994575:_____/22:N0000013

Result on the web

<a href="https://pdf.sciencedirectassets.com/271872/1-s2.0-S1364815222X00066/1-s2.0-S1364815222001414/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCABrXH%2BDuWf%2B%2B0OCEjAGscLGJgzmHXUKShx53gqrtk%2FAIhAPd" target="_blank" >https://pdf.sciencedirectassets.com/271872/1-s2.0-S1364815222X00066/1-s2.0-S1364815222001414/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEMv%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCABrXH%2BDuWf%2B%2B0OCEjAGscLGJgzmHXUKShx53gqrtk%2FAIhAPd</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.envsoft.2022.105435" target="_blank" >10.1016/j.envsoft.2022.105435</a>

Result language

angličtina

Original language name

An R package for identification of outliers in environmental time series data

Original language description

Environmental data often include outliers that may significantly affect further modelling and data analysis. Although a number of outlier detection methods have been proposed, their use is usually complicated by the assumption of the distribution or model of the analyzed data. However, environmental variables are quite often influenced by many different factors and their distribution is difficult to estimate. The envoutliers package has been developed to provide users with a choice of recently presented, semi-parametric outlier detection methods that do not impose requirements on the distribution of the original data. This paper briefly describes the methodology as well as its implementation in the package. The application is illustrated on real data examples.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Name of the periodical

ENVIRONMENTAL MODELLING & SOFTWARE

ISSN

1364-8152

e-ISSN

1873-6726

Volume of the periodical

155

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

18

Pages from-to

1-18

UT code for WoS article

000818764800002

EID of the result in the Scopus database

2-s2.0-85132428618