Introduction and Motivation

Welcome

Who we are:

Genevieve Perkins

  • ninoxconsulting.ca

Andy Teucher

  • andyteucher.ca

Who are you?

  • Name, where you are from, and what you want to get out of the course

Structure of the course

  • Day 1 & 2: structured content, live coding
  • Day 3 (half day): hackathon
    • Write your questions on the whiteboard

Take-homes

  • Course website
  • Bonus materials
  • Survey

Agenda - Day 1

  • Setup and troubleshooting (8:30 - 9:00)
  • Working with spatial data in R (9:00 - 10:30)
  • BREAK (10:30 - 11:00)
  • Telemetry data in R; clean, QA, and prepare data (Part I; 11:00 - 12:30)
  • LUNCH (12:30 - 1:30)
  • Telemetry data in R; clean, QA, and prepare data (Part II; 1:30 - 3:00)
  • BREAK (3:00 - 3:30)
  • Visualizing spatial data in R (3:30 - 4:30)

Agenda - Day 2

  • Setup and troubleshooting (8:30 - 9:00)
  • Retrieving spatial data from the B.C. Data Catalogue (9:00 - 10:30)
  • BREAK (10:30 - 11:00)
  • Getting and working with raster data (Part I; 11:00 - 12:30)
  • LUNCH (12:30 - 1:30)
  • Preparing base data for telemetry analysis (Part II; 1:30 - 3:00)
  • BREAK (3:00 - 3:30)
  • Preparing data for Resource Selection Function (RSF) analysis (3:30 - 4:30)

Code of Conduct

In the interest of ensuring a safe environment for all, all attendees, speakers and organisers of the workshop must agree to follow the workshop’s code of conduct.

Be kind to yourself! Everyone has different background and experiences - stop us, ask questions!

Housekeeping

Sticky Notes

Motivation

The Data Science Workflow

Motivation

Spatial Data Science with a GUI

Motivation

Spatial Data Science with R

Workshop Home