StratigrapheR: Concepts for Litholog Generation in R

R J. Pub Date : 2021-01-01 DOI:10.32614/rj-2021-039
Sébastien Wouters, A. Silva, F. Boulvain, X. Devleeschouwer
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Abstract

The StratigrapheR package proposes new concepts for the generation of lithological logs, or lithologs, in R. The generation of lithologs in a scripting environment opens new opportunities for the processing and analysis of stratified geological data. Among the new concepts presented: new plotting and data processing methodologies, new general R functions, and computer-oriented data conventions are provided. The package structure allows for these new concepts to be further improved, which can be done independently by any R user. The current limitations of the package are highlighted, along with the limitations in R for geological data processing, to help identify the best paths for improvements. Introduction StratigrapheR is a package implemented in the open-source programming environment R. StratigrapheR endeavors to explore new concepts to process stratified geological data. These concepts are provided to answer a major difficulty posed by such data; namely a large amount of field observations of varied nature, sometimes localized and small-scale, can carry information on large-scale processes. Visualizing the relevant observations all at once is therefore difficult. The usual answer to this problem in successions of stratified rocks is to report observations in a schematic form: the lithological log, or litholog (e.g., Fig. 1). The litholog is an essential tool in sedimentology and stratigraphy and proves to be equally invaluable in other fields such as volcanology, igneous petrology, or paleontology. Ideally, any data contained in a litholog should be available in a reproducible form. Therefore, the challenge at hand is what we would call "from art to useful data"; how can we best extract and/or process the information contained in a litholog, designed to be as visually informative as possible (see again Fig. 1). 28 29 30 31 32 33 34 44 45a 45b 45c 46 47 48 49 51 35 52a 52b 60a 60b 60c 61 HIATUS lamellar stromatoporoids branching stromatoporoids lamellar tabulate corals branching tabulate corals brachiopods crinoids receptaculitids small fenestrae large fenestrae
地层学家:R中岩性生成的概念
StratigrapheR套件提出了在r中生成岩性测井或岩性的新概念,在脚本环境中生成岩性为处理和分析分层地质数据提供了新的机会。提出的新概念包括:新的绘图和数据处理方法、新的通用R函数和面向计算机的数据约定。包结构允许进一步改进这些新概念,这可以由任何R用户独立完成。强调了当前软件包的局限性,以及R在地质数据处理方面的局限性,以帮助确定改进的最佳途径。StratigrapheR是在开源编程环境r中实现的软件包。StratigrapheR致力于探索处理分层地质数据的新概念。提供这些概念是为了回答这些数据所造成的一个主要困难;也就是说,大量不同性质的实地观测,有时是局部的和小规模的,可以提供关于大规模过程的信息。因此,一下子把相关的观察结果形象化是很困难的。对于分层岩石序列的这个问题,通常的答案是用图示形式报告观察结果:岩性测井或岩性(例如,图1)。岩性是沉积学和地层学的重要工具,在其他领域,如火山学、火成岩岩石学或古生物学,也被证明是同样宝贵的。理想情况下,岩性中包含的任何数据都应该以可复制的形式提供。因此,我们所面临的挑战便是所谓的“从艺术到有用数据”;我们如何才能最好地提取和/或处理岩性中包含的信息,这些信息被设计成尽可能直观地提供信息(再次参见图1)。HIATUS片层状叠层孔虫分枝状叠层孔虫片层状板状珊瑚分枝状板状珊瑚臂足类海百合类插孔虫小窗大窗
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