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Resumo(s)
Stratigraphic Columns (SC) are the most useful and common ways to represent
the eld descriptions (e.g., grain size, thickness of rock packages, and fossil
and lithological components) of rock sequences and well logs. In these representations
the width of SC vary according to the grain size (i.e., the wider the strata,
the coarser the rocks (Miall 1990; Tucker 2011)), and the thickness of each layer
is represented at the vertical axis of the diagram. Typically these representations
are drawn 'manually' using vector graphic editors (e.g., Adobe Illustrator®,
CorelDRAW®, Inskape). Nowadays there are various software which automatically
plot SCs, but there are not versatile open-source tools and it is very di cult
to both store and analyse stratigraphic information.
This document presents Stratigraphic Data Analysis in R (SDAR), an analytical
package1 designed for both plotting and facilitate the analysis of Stratigraphic
Data in R (R Core Team 2014). SDAR, uses simple stratigraphic data and takes
advantage of the
exible plotting tools available in R to produce detailed SCs. The
main bene ts of SDAR are: (i) used to generate accurate and complete SC plot
including multiple features (e.g., sedimentary structures, samples, fossil content,
color, structural data, contacts between beds), (ii) developed in a free software
environment for statistical computing and graphics, (iii) run on a wide variety of
platforms (i.e., UNIX, Windows, and MacOS), (iv) both plotting and analysing
functions can be executed directly on R's command-line interface (CLI), consequently
this feature enables users to integrate SDAR's functions with several others
add-on packages available for R from The Comprehensive R Archive Network
(CRAN).
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Quantitative stratigraphy Stratigraphic log R package Geosciences software