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Page 1: Using and visualising climate projections for adaptation ...nordicadaption2014.net/fileadmin/user_upload/NordicAdaption2014/… · Using and visualising climate projections for adaptation

School of Earth and Environment

Using and visualising climate

projections for adaptation planning in

local government in the UK – a user

study of adaptation practitioners

Susanne Lorenz, Suraje Dessai, Piers Forster, Jouni Paavola

Third Nordic International Conference on Climate Change Adaptation, Copenhagen,

25-27 August 2014 Adapting to change: from research to decision-making

Theme 2 – Mainstreaming

25th August 2014 1

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• Demands placed on visualisations

• Research questions and design

• Results

– Objective comprehension

– Subjective comprehension

– Planning preference

– Communication choices

• Discussion

• Conclusion

• After thought – Does any of this currently matter for the target

audience?

Overview

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‘To improve the ability to adapt to a changing climate, it is

necessary to improve the linkages between the production

and supply of climate-science information with users’

needs to ensure that the climate science is contextual,

credible, trusted and understood by the users.’

(McNie 2013: 14)

‘The (post) modern world is visual.’ (Roth 2002: 1)

Research context

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1. Demand for visualisations to support user needs

(Bostrom et. al. 2008)

2. Demand for more effective communication of climate

projections and evaluation of effectiveness (Stephens

2012 et al., Gahegan 1999, Pidgeon & Fischhoff 2011,

Fischhoff 2011)

3. Demand for more experimental evidence on visual

communication (e.g. Bostrom et al,. Spiegelhalter 2011,

Broad et al. 2007, Pidgeon & Fischhoff 2011)

Demands for visualisations

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• Communication should be tailored to the audience

(Spiegelhalter 2011, Nicholson-Cole 2005)

• Focus on the comprehension of visualisations and the

preference for different visualisations (Broad et al. 2008,

Pappenberger et al. 2013) – need to understand both for

effective communication (Spiegelhalter 2011)

• Understand comprehension in relation to objective and

subjective knowledge (Stoutenborough & Vedlitz 2014) –

connect to planning and communication process

Guiding thoughts

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• Are there differences in levels of objective comprehension amongst adaptation practitioners?

• Do objective and subjective comprehension vary?

• What is the relationship between comprehension (subjective and objective), preference for visualisation integration into planning decisions and communication?

• Can we make any best practice recommendations?

Research question

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• Online-survey on visualising climate

projections with adaptation

practitioners in Local Government in

the UK

• 99 respondents from 84 Local

Authorities from across the UK

• 20 semi-structured interviews with

adaptation practitioners in two case

study regions in the UK (South East

and East Midlands)

Methodology

7 Source: BMV Warehouse 2012

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Survey design

8

Scatter Plot

Pictograph

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Survey design

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Scatter Plot vs. Pictograph

The same questions get asked

for both graphs

How many models project a

decrease in summer temperature?

None of the models project a

temperature change above which

temperature threshold (to the

nearest half of a degree)?

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Survey design

10

Bubble Plot

Histogram

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Survey design

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Scatter Plot vs. Pictograph Histogram vs. Bubble Plot

The same questions get asked

for both graphs

The same questions get asked

for both graphs

How many models project a

decrease in summer temperature?

None of the models project a

temperature change above which

temperature threshold (to the

nearest half of a degree)?

Which is the most likely

temperature change projected

by the models?

Are you more likely to get a

temperature change below -

2.5°C or above 5.0°C?

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Results – Objective comprehension

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• Respondents accuracy

does not change

significantly between

scatter plot, histogram

or bubble plot

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Results – Objective comprehension

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• Respondents accuracy

does not change

significantly between

scatter plot, histogram

or bubble plot

• Pictograph is the

exception

• So graph format

doesn’t really matter?

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Results – Objective comprehension

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Results – Objective comprehension

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77% are better on traditional

figures

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Does it matter what we show?

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47% are better on traditional

figures

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Results – Objective comprehension

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9% are better on

alternative figures

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Does it matter what we show?

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40% are better on

alternative figures

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Results – Objective comprehension

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For 14% it actually does not matter

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Results – Subjective

comprehension

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27% of respondents do

objectively better on a

figure other than the one

they perceive to be the

easiest to understand

Very small link between objective

comprehension and subjective

comprehension

Which figure did you find the easiest to understand

Scatter Plot

Histogram

Pictograph

Bubble Plot

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Results – Planning preference

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74% people would use a figure to help them

make a planning decision

If you had to make a planning decision, which of these figures would you find most helpful for your decision-making process?

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Results – Planning preference

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27% of respondents do

not use the figure in a

decision-making process

that they objectively

understand the best

Scatter Plot HistogramPictograph Bubble PlotDepends on the decision None of the above

No link between objective

comprehension and subjective

preference

If you had to make a planning decision, which of these figures would you find most helpful for your decision-making process?

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Results – Communication choices

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If you had to persuade someone on your organisation of the necessity to start

planning for changes in future summer temperatures, which of these figures would

you use?

85% people would use a figure to help them persuade a colleague

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Results – Communication choices

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Scatter Plot

Histogram

Pictograph

Bubble Plot

I wouldn't use afigure at all

If you had to persuade someone on your organisation of the necessity to start

planning for changes in future summer temperatures, which of these figures would

you use?

No link between objective

comprehension and subjective

preference

20% of

respondents do not

use the figure they

understand the

best to

communicate with

a colleague

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Discussion

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usable

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Discussion

26 Subjectively utilised externally Subjectively utilised internally

Subjectively usable

Objectively

usable

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• Audience (i.e. climate adaptation practitioners) is not

homogenous – within group differences for comprehension and

preferences

• Complex interplay of (subjective & objective) comprehension

and preferences

• Question of transforming information from useful to usable (e.g.

Lemos et al. 2012) - But how does usable translate to utilised?

• Considering the divide between what users subjectively use and

what would objectively be ‘better’ to use, is it even possible to

make best practice recommendations?...

Conclusions

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• … does anyone need them at the moment in our target

audience?

• Performance framework on climate adaptation in local

government 2008 – 2011 - Adaptation moved up the agenda

(Cooper and Pearce 2011)

• Focus on economic benefits, energy saving instead

– ‘It’s money, money, at the moment.’

• Lack of political drive for adaptation

• ‘Adaptation […] really dropped completely off the radar.’

Practical setting

Status quo of adaptation

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Thank you!

Susanne Lorenz

School of Earth and Environment

University of Leeds, UK

[email protected]

http://www.see.leeds.ac.uk/people/s.lorenz

https://twitter.com/Susanne_Lorenz

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• BMV Warehouse. 2012. UK Regions Map . [Online] . [Accessed 18th August 2014] . Available from:

http://www.bmvwarehouse.co.uk/uk-regions-map/

• Bostrom, Ann, Luc Anselin, and Jeremy Farris. 2008. Visualizing seismic risk and uncertainty. Annals

of the New York Academy of Sciences. 1128(1), pp.29-40.

• Broad, Kenneth, et al. 2007. Misinterpretations of the “cone of uncertainty” in Florida during the 2004

hurricane season. Bulletin of the American Meteorological Society. 88(5). pp.651-667.

• Cooper, Stuart, and Graham Pearce. 2011. Climate change performance measurement, control and

accountability in English local authority areas. Accounting, Auditing & Accountability Journal . 24(8),

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• Gahegan, Mark. 2000. The case for inductive and visual techniques in the analysis of spatial data.

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References

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• Pidgeon, Nick, and Baruch Fischhoff. 2011. The role of social and decision sciences in communicating

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References

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