Or M. Bialik , Emilia Jarochowska, Michal Grossowicz

Ordination is the name given to a group of methods used to analyze multiple variables without preceding hypotheses. Over the last few decades the use of these methods in Earth science in general, and notably in analyses of sedimentary sources, has dramatically increased. However, with limited resources oriented towards Earth scientists on the topic, the application of ordination analysis is at times suboptimal and misuse by authors can occur. This text was written for researchers with little to no experience with ordination with the aim of exposing them to the utility and the pitfalls of this branch of exploratory statistics. To do so, we offer a detailed review of three ordination methods: principal component analysis (PCA), non-metric multidimensional scaling (NMDS) and detrended correspondence analysis (DCA). We then present a survey of 163 publications in Earth science, in which these ordination methods were used. We summarize how, why and on what type of data ordination was used and outline common mistakes and misuses identified in those publications. Notably, we found issues with reproducibility, documentation, data set dimensions and transformations. Based on this survey, we offer a recommended workflow for Earth scientists who wish to apply ordination. Additionally, this article is accompanied by highly annotated R scripts for novice users to use these methods.