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http://dx.doi.org/10.11626/KJEB.2016.34.4.365

A Review of Time Series Analysis for Environmental and Ecological Data  

Mo, Hyoung-ho (Institute of Life Science and Natural Resources, Korea University)
Cho, Kijong (Division of Environmental Science and Ecological Engineering, Korea University)
Shin, Key-Il (Department of Statistics, Hankuk University of Foreign Studies)
Publication Information
Korean Journal of Environmental Biology / v.34, no.4, 2016 , pp. 365-373 More about this Journal
Abstract
Much of the data used in the analysis of environmental ecological data is being obtained over time. If the number of time points is small, the data will not be given enough information, so repeated measurements or multiple survey points data should be used to perform a comprehensive analysis. The method used for that case is longitudinal data analysis or mixed model analysis. However, if the amount of information is sufficient due to the large number of time points, repetitive data are not needed and these data are analyzed using time series analysis technique. In particular, with a large number of data points in the current situation, when we want to predict how each variable affects each other, or what trends will be expected in the future, we should analyze the data using time series analysis techniques. In this study, we introduce univariate time series analysis, intervention time series model, transfer function model, and multivariate time series model and review research papers studied in Korea. We also introduce an error correction model, which can be used to analyze environmental ecological data.
Keywords
ARIMA; intervention model; multivariate time series; error correction;
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Times Cited By KSCI : 4  (Citation Analysis)
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