Welcome to the WOMBAT 2022 Tutorial!
This tutorial is designed to get you up and running with multivariate spatio-temporal data analysis and visualisation in R quickly. It will cover importing and combining spatial and temporal data, filtering on space and time, aggregating on space and time, making basic maps and creating interactive plots.
H. Sherry Zhang is a third year PhD student in Econometrics and Business Statistics at Monash University. Her research focuses on multivariate spatiotemporal data wrangling and visualisation tools. She will be assisted by Professor Di Cook, who is well-known for her work in data visualisation and teaching of tutorials.
This workshop is suitable for those who know how to use R and need to develop more skills and experience with wrangling and visualising spatio-temporal data in R.
csv: spatial coordinates, time index and measured variables
netcdf: array of large gridded data
shape files: to provide the map background
Participants need a basic knowledge of R, ideally with familiarity with the topics covered in R for Data Science.
The latest version of R (>= 4.2.1) and RStudio (>= 2022.07.1) should be installed, and these packages with their dependencies installed prior to joining the tutorial:
pkgs <- c("colorspace", "crosstalk", "cubble", "dplyr", "ggplot2", "htmltools", "ozmaps", "plotly", "rmapshaper", "rnaturalearth", "sf", "tsibble", "webshot") install.packages(pkgs)
strayr package needs to be installed from