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

DOI JASI
  • Nakayama Shin-Ichiro
    National Research Institute of Fisheries Science, Fisheries Research Agency
  • Abe Masato S.
    Department of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo
  • Okamura Hiroshi
    National Research Institute of Fisheries Science, Fisheries Research Agency

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Other Title
  • Convergent cross mappingの紹介 : 生態学における時系列間の因果関係推定法
  • Convergent cross mapping ノ ショウカイ : セイタイガク ニ オケル ジケイレツ カン ノ インガ カンケイ スイテイホウ

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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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