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Introduction

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Information entropy - Journey into information theory - Computer Science - Khan Academy

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Quantifying ‘Causality’ in Complex Systems: Understanding Transfer Entropy

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An Introduction to Transfer Entropy Information Flow in Complex Systems

An information theory perspective may help to rectify this situation, as evidenced by recent research in sustainability science that supports the use of unit-free measures such as Shannon entropy and Fisher information to aggregate disparate indicators. These measures have been used for spatial and temporal datasets to monitor progress toward sustainability targets.

Here, we provide a review of information theory and a theoretical framework for studying the dynamics of feedbacks in CHANS. We propose a combination of information-based indices that might productively inform our sustainability goals, particularly when related to key feedbacks in CHANS.

INTRODUCTION

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