Nov 29-30, 2018
9:00 am - 4:30 pm
Instructors: Michele Tobias, Michael Koontz, Erin Becker
Helpers: Tracy Teal, Karen Word
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. Workshop enrollment will be capped at 30 learners. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
When: Nov 29-30, 2018. 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). They are also required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email firstname.lastname@example.org for more information.
Please be sure to complete these surveys before and after the workshop.
|Before starting||Pre-workshop survey|
|Morning||Introduction to Geospatial Concepts|
|Introduction to R for Geospatial Data (part 1)|
|Afternoon||Introduction to R for Geospatial Data (part 2)|
|Morning||Introduction to Geospatial Raster and Vector Data with R (part 1)|
|Afternoon||Introduction to Geospatial Raster and Vector Data with R (part 2)|
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To install the software we will use for this Geospatial Data Carpentry workshop, please follow the instructions under "Option A" here: https://datacarpentry.org/geospatial-workshop/setup.html. 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.