Target audience: Undergraduate students.
Assumed knowledge: types of sedimentary rocks, most common minerals, Dunham classification of carbonate rocks.
Discipline: Earth sciences, geosciences.
This module is a class developed for the 1st year of Bachelors of Geosciences with a planned duration of 3 h. It uses publicly available high-resolution thin sections made from modern sediments from the Bahamas and Landsat images available via Google Maps or Google Earth, but including hand specimens and physical thin sections from tropical carbonate rocks is recommended. The goal of the module is to create a facies model and reflect on what a model means in the context of depositional environment.
This repository provides a detailed written instruction for students, a short presentation that may accompany it, additional information on the thin sections, and a grading rubric.
Text and presentation files are provided as Quarto files. This is an open source publishing format based on markdown. Quarto files can be edited using text editors and IDEs such as R Studio and rendered to any format: docx, pdf, html. You can preview the contents of the OER directly on GitHub in files with .md extension and .html files are provided in the html folder.
If you would like to edit the OER and export it e.g. to Word or PDF, you can do it in three ways.
-
Edit the files in the
htmlfolder, e.g. in Word. -
Edit and render Quarto files
First, clone the repository.
- Open the file in R Studio, set the following line to your preferred format, e.g.:
format: pdfAnd click
Render.- Change the line as above using any text editor and use Quarto CLI to render it:
quarto render
The presentation is prepared in Reveal.js, which is also supported by the Quarto format and can be rendered as above, but the format is already set and will be rendered to .html.
If you would like to contribute to this OER, please see CONTRIBUTING.md.
Please see LICENSE.md
Emilia Jarochowska
Utrecht University
email: e.b.jarochowska [at] uu.nl
Web page: www.uu.nl/staff/EBJarochowska
ORCID: 0000-0001-8937-9405
Copyright 2023 Utrecht University