Mar 22-23, 2021
9:30 am - 5:30 pm
Instructors: Amobichukwu Amanambu, Audrey Smith, Joseph Andreoli, Maram Alrehaili, Narayani Barve, Vijay Barve
Helpers: Brandon Merriell, Caitlin Campbell, Max Tagliamonte, Neeka Sewnath, Shar Siddiqui, Trista Brophy
The UF Carpentry Club is piloting a brand new workshop cirriculum, "Introduction to Geospatial Analysis in R". Have you ever not be able to recreate a map or analysis in ArcMap? Would you rather use a scripting approach to geospatial analysis? Come join us for this workshop. We will start with an introduction to R and geospatial, so no background experience is required (but will be helpful).
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.
When: Mar 22-23, 2021. Add to your Google Calendar.
Requirements: Participants must have 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). It is highly recomemded to have an additional monitor / device for additional screen space for follwoing Zoom meeting and RStudio hands-on work. They are also required to abide by Data Carpentry's Code of Conduct.
Contact: Please email firstname.lastname@example.org for more information.
Space is limited to 40 participants for this workshop and registration is required. Please plan on attending the entire time for both days. This workshop will be free, however registration requires attendance for most of the workshop.
Please be sure to complete these surveys before and after the workshop.
|Before starting||Pre-workshop survey|
|8:30 - 9.30||Troubleshooting hour (for installing packages)|
|9:30 - 11.00||Introduction to R for Geospatial Data (Lessons 1, 2, 3, 4)|
|11.30 - 12:30||Introduction to R for Geospatial Data (Lessons 5, 6)|
|12:30 - 1:30|
|1:30 - 3:30||Introduction to Geospatial Concepts (Lesson 1, 2|
|4:00 - 5:30||Introduction to Geospatial Concepts (lesson 3, 4)|
|Introduction to Geospatial Raster and Vector Data with R (Setup and Lesson 1)|
|9:30 - 10.00|
Recap from Day 1
|10.00 - 11.00||Introduction to Geospatial Raster and Vector Data with R (Lessons 2, 3, 4)|
|11.30 - 12:30||Introduction to Geospatial Raster and Vector Data with R (Lessons 5, 6, 7, 8)|
|12:30 - 1:30|
|1:30 - 3:30||Introduction to Geospatial Raster and Vector Data with R (Lessons 8, 9, 10)|
|4:00 - 5:15||Introduction to Geospatial Raster and Vector Data with R (Lessons 11, 12, 13, 14)|
|5:15 - 5:30|
To participate in a Data Carpentry workshop, you will need access to the software 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.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.