An introduction to convergent cross mapping: A novel method for causality detection in ecological time series

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Abstract

Ecologists frequently need to detect causalities among events from time series data. It can be difficult to detect causality from time series data created from complex, deterministic, nonlinear systems, which are universal. Convergent cross mapping is a novel method for detecting causality in such situations. This review explains the mechanism, how to use the method, and future issues with this method.

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Nakayama, S. I., Abe, M. S., & Okamura, H. (2015, November 30). An introduction to convergent cross mapping: A novel method for causality detection in ecological time series. Japanese Journal of Ecology. Tohoku University. https://doi.org/10.18960/seitai.65.3_241

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