Apr 23-24, 2020
8:30am - 4:30pm
Instructors: Erich Seamon, Travis Seaborn
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.
This hands-on workshop will focus on managing and understanding spatial data formats, understanding coordinate reference systems, and working with raster and vector data in R for analysis and visualization. An introductory knowledge to R is helpful, but not required. Participants will be encouraged to help one another and to apply what they have learned to their own research problems, and will be aimed towards graduate students and other researchers. Attendees must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges.
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: Apr 23-24, 2020. 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).
Code of Conduct: 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.
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. Please note: we have a Uidaho survey that contains important logistical questions - then Data Carpentry wants you to complete a more demographic focused survey. Please complete both.
|Before starting||Pre-workshop survey|
|Morning||Introduction to Geospatial Concepts|
|Introduction to R for Geospatial Data|
|Afternoon||Introduction to R for Geospatial Data (continued)|
|Introduction to Geospatial Raster and Vector Data with R (Part 1)|
|Morning||Introduction to Geospatial Raster and Vector Data with R (Part 2)|
|Afternoon||Introduction to Geospatial Raster and Vector Data with R (Part 3)|
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
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.
The setup instructions for the Data Carpentry Geospatial workshop can be found at the workshop overview site.
Zoom Access: password required - password is: idaho_geo
Topic: BCB 503 Geospatial Analysis Workshop
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Meeting ID: 937 557 828
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