May 7, 2019
9:00 am - 5:00 pm
Instructors: Sergio Marconi, Geraldine Klarenberg, Eduardo Bongiolo
Helpers: Nitya Singh, Gaurav Vaidya, Miao Sun, Brian Stucky
Space is limited to 24 participants for this workshop and registration is required. UFBI has generously offered to cover the expenses for this workshop, so there is no charge to participate. Lunch and snacks will be provided during the workshop. If you register for the workshop, please plan on attending the entire time. You can register in UF's conference system here:
Do you need to create maps or do spatial analyses for your scientific work? Would you like to learn how to use scripts to automate geospatial analyses? Do you just wish you understood geospatial data better? If you answered "yes" to any of those questions, come join us on May 7!
The UF Carpentry Club is hosting a 1-day, Carpentries-inspired workshop on May 7, 2019, as a follow-up event to the 3rd Annual UFBI and IFAS Symposium. For this workshop, we will be teaching a condensed version of the new workshop curriculum, "Introduction to Geospatial Analysis in R".
Because this is a 1-day workshop, we will not have time for a from-the-beginning introduction to R, so workshop participants should have at least some experience using R, but no prior experience with geospatial analysis is required.
The Carpentries 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 geospatial analysis, but you should have at least some basic familiarity with R.
Where: L308, Marston Science Library. Get directions with OpenStreetMap or Google Maps.
When: May 7, 2019. Add to your Google Calendar.
Requirements: Participants must bring a laptop running Linux, Windows, or MacOS (not a tablet, Chromebook, etc.). Participants should have R installed on their laptops and they should be able to install R packages as needed (see additional setup information). 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:
If there are additional materials or services we can provide to help make learning easier for you (e.g., large-print handouts, sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email stuckyb@flmnh.ufl.edu for more information.
| 9:00 - 10:30 | Introduction to R for Geospatial Data |
| 10:30 - 10:45 | BREAK |
| 10:45 - 12:00 | Introduction to Geospatial Concepts |
| 10:45 - 12:00 | Introduction to Geospatial Raster and Vector Data with R |
| 12:30 - 1:30 | LUNCH |
| 1:30 - 3:00 | Introduction to Geospatial Raster and Vector Data with R |
| 3:00-3:15 | BREAK |
| 3:15 - 4:50 | Introduction to Geospatial Raster and Vector Data with R |
| 4:50 - 5:00 | Closing remarks. |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in this workshop, you will need access to a computer with R and various geospatial software packages installed. See below for detailed installation instructions. 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.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
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.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
RStudio IDE.
You will need to have additional geospatial software packages installed on your computer to use R with geospatial data. Please follow the detailed installation instructions for your preferred operating system.