RECURRENCE QUANTIFICATION ANALYSIS IN WATERSHED ECOSYSTEM RESEARCH
2011 ◽
Vol 21
(04)
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pp. 1113-1125
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Keyword(s):
In ecosystem research, data-driven approaches to modeling are of major importance. Models are more often than not shaped by the spatiotemporal structure of the observations: an inverse modeling approach prevails. Here, I investigate the insights obtained from Recurrence Quantification Analysis of observed ecosystem time series. As a typical example of available long-term monitoring data, I choose time series from hydrology and hydrochemistry. Besides providing insights into the nonstationary and nonlinear dynamics of these variables, RQA also enables a detailed and temporally local model-data comparison.
2008 ◽
Vol 34
(12)
◽
pp. 1099-1107
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2018 ◽
Vol 54
(2)
◽
pp. 173-191
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2009 ◽
Vol 19
(08)
◽
pp. 2487-2498
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