Apr 23-24, 2020
8:30am - 4:30pm
Instructors: Erich Seamon, Travis Seaborn
Helpers: JT Van Leuven, Amanda Stahlke, Breanna Sipley
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.
Where: Zoom conferencing: see zoom connect information below.
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 email@example.com 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.
We have created a streamlined github repository for each lesson’s code. The purpose of this repository is to give you a simple way of getting the code for each lesson, in a basic R file that can be used later. So, please feel free to clone this repo and use in any way you’d like. While we want to following along during the lesson and engaging, we also dont want you to worry that you have to type everything down, in order to preserve a file for your use later. Just clone the repo after the workshop! https://github.com/erichseamon/BCB503_geospatial_workshop
This zoom conference information will be used for both days (April 23rd and 24th) - as well as the prepatory zoom testing, scheduled for Wednesday, April 22nd @ 1pm. If you would like to test out your zoom settings in advance, please drop onto the call.
A few other zoom/video conferencing housekeeping issues:
If you can use a dual monitor setup, this will greatly assist you.
If possible, make sure you have a webcam ergonomically set up level with your face, with your microphone close to you.
Please leave your webcam on while interfacing with the workshop. This is not a requirement. We realize that you may have additional family or work/class committments that may require you to step away. However, while you are engaged in the workshop, try to have your webcam on! It will be more fun and engaging! (If you can consider R and geospatial analysis fun!)
We will try to leverage zoom as much as possible. We are not going to use any other software, other than Rstudio and zoom. However, we will be lecturing using the materials referenced above. So - following along via your browser with the lesson we are going over will be helpful. That means: Rstudio + zoom + web browser. You can see why two monitors will be helpful if possible.
Zoom Access: password required - password is: idaho_geo
Topic: BCB 503 Geospatial Analysis Workshop
Join Zoom Meeting https://uidaho.zoom.us/j/937557828?pwd=cFFndTM1QmltRGVaWmdIYU5FdWc1dz09
Meeting ID: 937 557 828
One tap mobile +16699006833,,937557828# US (San Jose) +16468769923,,937557828# US (New York)
Dial by your location +1 669 900 6833 US (San Jose) +1 646 876 9923 US (New York) Meeting ID: 937 557 828 Find your local number: https://uidaho.zoom.us/u/aoetXY48n
Join by SIP firstname.lastname@example.org
Join by H.323 18.104.22.168 (US West) 22.214.171.124 (US East) 126.96.36.199 (China) 188.8.131.52 (India Mumbai) 184.108.40.206 (India Hyderabad) 220.127.116.11 (EMEA) 18.104.22.168 (Australia) 22.214.171.124 (Hong Kong) 126.96.36.199 (Brazil) 188.8.131.52 (Canada) 184.108.40.206 (Japan) Meeting ID: 937 557 828 Password: 036740