Mar. 28, Apr. 4, 11, & 18, 2025
1:30 pm - 4:30 pm
Instructors: Kevin Dyke, Dr. Jaina Agan, Dr. Dani Kirsch
Helpers: TBD
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: In person at OSU & online at UCO. Get directions with OpenStreetMap or Google Maps.
When: Mar. 28, Apr. 4, 11, & 18, 2025; 1:30 pm - 4:30 pm Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Contact: Please email danielle.kirsch@okstate.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
| Introduction to Geospatial Concepts | |
| Lesson 1 | Introduction to Raster Data |
| Lesson 2 | Introduction to Vector Data |
| Lesson 3 | Coordinate Reference Systems |
| Lesson 4 | The Geospatial Landscape |
| Introduction to R for Geospatial Data | |
| Lesson 1 | Introduction to R and RStudio |
| Lesson 2 | Project Management with RStudio |
| Lesson 3 | Data Structures |
| Lesson 4 | Exploring Data Frames |
| 4:30 PM | END |
| Introduction to R for Geospatial Data (continued) | |
| Lesson 4 | Exploring Data Frames |
| Lesson 5 | Subsetting Data |
| Lesson 6 | Data Frame Manipulation with dplyr |
| Lesson 7 | Introduction to Visualization |
| 4:30 PM | END |
| Introduction to R for Geospatial Data (continued) | |
| Lesson 7 | Introduction to Visualization |
| Lesson 8 | Writing Data |
| Introduction to Geospatial Raster and Vector Data with R | |
| Lesson 1 | Intro to Raster Data |
| Lesson 2 | Plot Raster Data |
| Lesson 3 | Reproject Raster Data |
| Lesson 4 | Raster Calculations |
| Lesson 5 | Work with Multi-Band Rasters |
| 4:30 PM | END |
| Introduction to Geospatial Raster and Vector Data with R (continued) | |
| Lesson 6 | Open and Plot Vector Layers |
| Lesson 7 | Explore and Plot by Vector Layer Attributes |
| Lesson 8 | Plot Multiple Vector Layers |
| Lesson 9 | Handling Spatial Projection and CRS |
| Lesson 10 | Convert from CSV to a Vector Layer |
| Lesson 11 | Manipulate Raster Data |
| Lesson 12 | Raster Time Series Data |
| Lesson 13 | Create Publication-Quality Graphics |
| Lesson 14 | Derive Values from Raster Time Series |
| 4:30 PM | END |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
The setup instructions for the Data Carpentry Geospatial workshop can be found at the workshop overview site.