Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods

arXiv:2404.05746v1 Announce Type: cross
Abstract: This survey paper covers the breadth and depth of time-series and spatiotemporal causality methods, and their applications in Earth Science. More specifically, the paper presents an overview of causal discovery and causal inference, explains the underlying causal assumptions, and enlists evaluation techniques and key terminologies of the domain area. The paper elicits the various state-of-the-art methods introduced for time-series and spatiotemporal causal analysis along with their strengths and limitations. The paper further describes the existing …

abstract applications arxiv assumptions causal causal inference causality cs.ai cs.lg discovery earth evaluation inference overview paper physics.ao-ph physics.data-an physics.geo-ph review science series survey type