UQRUG 54

Overview: TidyTuesday + drop in session
Questions: spatial data; time series modelling; finance

Topic: TidyTuesday

Data for this week: https://github.com/rfordatascience/tidytuesday/blob/master/data/2024/2024-09-24/readme.md

Attendees

Add your name, where you’re from, and why you’re here:

Name	Where are you from?	What brings you here?
Lina	SENV, PhD	Here to get used to R
Jocelyn	Bioinformatics
Sam
Gerry Katai	Master of Economics
Dawn	Master of Interaction Design	Here to find possibility of R, Newbie
Man	PhD in oral health	Here to get used to R
Prakash	Master of Commerce - Accounting and Finance
David Green	RCC
Stéphane	Library	Here to help
Luke	Library	Here to attempt to help

Questions and resources shared

R for spatial data:

• ggplot2 has coordinate systems for maps too (with coord_sf())

• To process vector data: sf https://r-spatial.github.io/sf/

• To process raster data: terra https://rspatial.github.io/terra/

• tmap for static and interactive visualisations: https://r-tmap.github.io/tmap/

• Book: https://bookdown.org/robinlovelace/geocompr/

• CRAN task view on spatial: https://cran.r-project.org/web/views/Spatial.html

• ROpenSci gives access to packages for spatial processing and data downloads: https://ropensci.org/

• Example of acquiring OSM data, using sf and sfnetworks for spatial networks, and tmap for an interactive visualisation: https://stragu.gitlab.io/blog/2022-06-06-spatial-networks/

Spatial data sources:

• https://earthexplorer.usgs.gov/, for example for Digital Elevation Model (DEM), there’s SRTM

• https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/home

• https://digital.atlas.gov.au/

Community of practice for spatial stuff: https://brisbane-geocommunity.netlify.app/

Resources for (time series) modelling:

• https://www.tidymodels.org/ which works hand-in-hand with https://www.tidyverse.org/

• arima() in core R (stats package)

• time series modeling with tidymodels: https://www.tidymodels.org/learn/models/time-series/

• Training session for time series: https://github.com/uqlibrary/technology-training/blob/master/R/timeseries/time_series.md

Finance:

• https://cran.r-project.org/web/views/Finance.html

• example of Tesla stocks over-inflated

• Financial modelling and stock analysis: https://www.quantmod.com/

• Collection of econometric functions for performance and risk analysis: https://cran.r-project.org/web/packages/PerformanceAnalytics/index.html

• Thorough resource about Using R for Predictive Modeling in Finance: https://machinelearningmastery.com/using-r-for-predictive-modeling-in-finance