Data Carpentry Geospatial Workshop - University of Sydney

Dec 10th - 11th - 2018

9:00 am - 5:00 pm

Instructors: Darya Vanichkina

Helpers: TBC

General Information

This course, run by the Sydney Informatics Hub, will use the Data Carpentry Geospatial curriculum. It will focus on teaching researchers to use geospatial data for their own analyses in the R programming language.

The Sydney Informatics Hub is a Core Research Facility of the University of Sydney. SIH provides support, training, and expertise on research data, analyses and computing for research staff, students and affiliates of the University. We deliver policies, systems, advice, engineering and training to research staff, students and affiliates of the University.

Who: The course is aimed at graduate students and other researchers. Attendees MUST be from the University of Sydney or one of its affiliate institutes.

Participants need to have a working knowledge of R, including basic familiarity with the tidyverse package. NO previous experience with geospatial data is required.

Where: New Law Building Learning Studio 030, University of Sydney Camperdown Campus, NSW 2050. Get directions with OpenStreetMap or Google Maps.

When: Dec 10th - 11th - 2018. 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).

Contact: Please email darya.vanichkina@sydney.edu.au for more information.


Schedule

Day 1

08:00 [Arrive early if any problems with software installation]
09:00 Workshop start: Introduction to Geospatial Concepts
10:30 Break
10:45 Continue: Introduction to Geospatial Concepts
12:00 Lunch break
13:00 Introduction to Raster Data in R
14:30 Break
14:45 Continue
16:00 Wrap-up

Day 2

09:00 Geospatial Raster and Vector Data with R
10:30 Break
10:45 Continue
12:00 Lunch break
13:00 Geospatial Raster and Vector Data with R (continued)
14:30 Break
14:45 Continue
16:00 Wrap-up

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code. Course material can be found here and here.


Syllabus

Introduction to Geospatial Concepts

  • What format should I use to represent my data?
  • What are the main data types used for representing geospatial data?
  • What are the main attributes of raster data?
  • What are the main attributes of vector data?
  • What is a coordinate reference system and how do I interpret one?
  • What programs and applications are available for working with geospatial data?

Geospatial Raster and Vector Data with R

  • Intro to Raster Data in R
  • Plot Raster Data in R
  • Reproject Raster Data in R
  • Raster Calculations in R
  • Work With Multi-Band Rasters in R
  • Open and Plot Shapefiles in R
  • Explore and Plot by Shapefile Attributes
  • Plot Multiple Shapefiles in R
  • Handling Spatial Projection & CRS in R
  • Convert from .csv to a Shapefile in R
  • Manipulate Raster Data in R
  • Raster Time Series Data in R
  • Create Publication-quality Graphics
  • Derive Values from Raster Time Series

Setup

To participate in the workshop you will need to download the following data and to follow the setup instructions in here. We highly recommend you follow the instructions for "Option A: Local Installation" to install everything locally on your computer as opposed to using the Docker image.