Introduction to Geospatial Analysis in R

University of Idaho, Institute for Modeling, Collaboration and Innovation (http://imci.uidaho.edu)

Apr 23-24, 2020

8:30am - 4:30pm

Instructors: Erich Seamon, Travis Seaborn

Helpers: TBD

General Information

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: IRIC Building, Room 352, University of Idaho - 875 Perimeter Dr, Moscow, ID 83844. Get directions with OpenStreetMap or Google Maps.

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 erichs@uidaho.edu for more information.


Surveys

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.

UIDAHO Pre-workshop Survey - complete by March 16th, 2020

DATA CARPENTRY Pre-workshop Survey

DATA CARPENTRY Post-workshop Survey


Schedule

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Syllabus


Setup

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.

Video Conference Access

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

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