date | max_temp | station |
---|---|---|
1910-01-01 | 26.7 | Perth |
1910-01-02 | 27.0 | Perth |
1910-01-03 | 27.5 | Perth |
1910-01-04 | 24.0 | Perth |
1910-01-05 | 24.8 | Perth |
1910-01-06 | 24.4 | Perth |
Lecturer: Kate Saunders
Department of Econometrics and Business Statistics
Aim
Daily maximum temperature in selected Australian locations
Daily maximum temperature from beginning of 1910 to mid 2021 for 7 Australian location (Perth, Adelaide, Cairns, Brisbane, Sydney, Canberra, and Melbourne).
date | max_temp | station |
---|---|---|
1910-01-01 | 26.7 | Perth |
1910-01-02 | 27.0 | Perth |
1910-01-03 | 27.5 | Perth |
1910-01-04 | 24.0 | Perth |
1910-01-05 | 24.8 | Perth |
1910-01-06 | 24.4 | Perth |
Very long time series… what’s the intended message?
Lots of fluctuation in temperature… does it show the trend?
This is showing the fit from a GAM model… but we lost understanding the underlying variation in the original data
Some models don’t look like a good fit… let’s examine individually
The legend is redundant here… remove unnessary elements.
Using loess with span of 0.3 instead … comparison across location is harder when in data shown in different panels
Casting a shadow of the fitted model across locations in each panel makes it easier to compare …
There were missing values in data that wasn’t apparent before!
By taking weekly averages, the plot is smoother and you can focus trends in the data instead of getting distracted with daily fluctuations.
This plot makes it easier to see the monthly variation…
Can you think of other ways to visualise this data?
Communicating Climate Change
Is it clear the climate is changing?
Let’s add a geom_smooth() - Is the trend clear now?
Sydney #showyourstripes
Graphic by Ed Hawkins: https://showyourstripes.info/
Do we need to know what the exact temperature is to get the message?
Do bar size and summary text help convey change is happening?
What are the advantages / disadvantages to making this graphic more scientifically accurate?
Interactive version shown at the Rio Olympics in 2016
Does animation help convey the climate is warming?
https://climate.nasa.gov/climate_resources/300/video-climate-spiral-1880-2022/
Brisbane Floods, February - March 2022
What works and what does not work about this warning communication? Source: https://www.brisbane.qld.gov.au/ (now expired)
Does this map help people to understand if they will be flooded?
Does using a table to display the data make it clearer?
Source: https://www.brisbane.qld.gov.au/ (now expired)
People interpret probabilistic words in different ways
Likely roughly corresponds to 50% - 70%.
Source: https://hbr.org/2018/07/if-you-say-something-is-likely-how-likely-do-people-think-it-is
Unclear
Will my home by impacted?
Will I be isolated by flood-waters?
Can I evacuate?
Warnings were inadequate
Breakdown in warning communication
But where exactly?
Clear failed data based communication was a factor
Warning communication
Needs to help people make a decision
Encourage people to take the right actions
Future looking
Scope to improve how we communicate warnings with data
This will help better support people during disasters
New South Wales & Victorian Flooding, October 2022
https://hazardwatch.gov.au/
Difficult to make decisions in emergency situations.
People don’t always make good decisions under stress.
Categorical Data Helps
Hazard levels and related icons
Clear hazard messaging
How do the design elements contribute to the effectiveness of the data communication? Consider
Summary
Resources
Contributors
Case study on Australian Temperature developed by Dr Emi Tanaka
Warming Stripes case study developed by Dr Kate Saunders
Natural Hazards case studies developed by Dr Kate Saunders
ETC5523 Week 11