Detail publikačního výsledku

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

ČAMPULOVÁ, M.; ČAMPULA, R.; HOLEŠOVSKÝ, J.

Originální název

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Outlier; Data validation; Kernel regression; Environmental data; R package

Klíčová slova v angličtině

Outlier; Data validation; Kernel regression; Environmental data; R package

Autoři

ČAMPULOVÁ, M.; ČAMPULA, R.; HOLEŠOVSKÝ, J.

Rok RIV

2023

Vydáno

17.08.2022

Nakladatel

Elsevier

Místo

Amsterdam

ISSN

1364-8152

Periodikum

ENVIRONMENTAL MODELLING & SOFTWARE

Svazek

155

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

18

Strany počet

18

URL

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%2FAIhAPdrGiB%2F2IKift3R96EFSLR%2BQqZs3yZquo0dGlmddqPYKtsECNT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBBoMMDU5MDAzNTQ2ODY1IgzgXROrZoM9BjdM%2FDwqrwTm%2FTbuH1A9xg4Q7K%2FY7amewXMUHfD%2BGVQNn8EmXUwUml4hSRfYrrf94bL84IpNiNPOs0RmANltVk4hl5%2BlO1yOXvNf%2BJwVS7ESdB4eusSvrD%2ByhGet4CG

BibTex

@article{BUT178243,
  author="Martina {Čampulová} and Roman {Čampula} and Jan {Holešovský}",
  title="An R package for identification of outliers in environmental time series data",
  journal="ENVIRONMENTAL MODELLING & SOFTWARE",
  year="2022",
  volume="155",
  number="1",
  pages="1--18",
  doi="10.1016/j.envsoft.2022.105435",
  issn="1364-8152",
  url="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%2FAIhAPdrGiB%2F2IKift3R96EFSLR%2BQqZs3yZquo0dGlmddqPYKtsECNT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBBoMMDU5MDAzNTQ2ODY1IgzgXROrZoM9BjdM%2FDwqrwTm%2FTbuH1A9xg4Q7K%2FY7amewXMUHfD%2BGVQNn8EmXUwUml4hSRfYrrf94bL84IpNiNPOs0RmANltVk4hl5%2BlO1yOXvNf%2BJwVS7ESdB4eusSvrD%2ByhGet4CG"
}