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- Author: Polina Levontin
- Publisher: Sad Press
- ISBN-10: 1912802058
- ISBN-13: 9781912802050
- Format: 21 x 29.7 x 0.4 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
How uncertainty data is visualised can play a significant role in analysis and decision-making, especially involving multiple stakeholders. Even when only one person is responsible for every aspect of analysis and decision-making, visualisation may still play a significant role in how uncertainty is understood--i.e. in how the decision-maker 'communicates uncertainty to themselves.'
Using the right visualisation tools can have a positive impact on decision quality. But this positive impact should never be taken for granted: visualisations can also have unexpected side-effects, and there is the risk that they can be misinterpreted or otherwise misused.
This primer, published by the Analysis under Uncertainty for Decision-Making network (AU4DM), summarises the current state of the art of uncertainty visualisation research. It brings together a wealth of relevant studies, concepts, and practical tools and recommendations. It also represents research-in-progress: an open invitation for researchers in visualisation, decision analysis, psychology, and other fields to share their findings and to contribute to future editions.
EXTRA 10 % discount with code: EXTRA
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- Author: Polina Levontin
- Publisher: Sad Press
- ISBN-10: 1912802058
- ISBN-13: 9781912802050
- Format: 21 x 29.7 x 0.4 cm, minkšti viršeliai
- Language: English English
How uncertainty data is visualised can play a significant role in analysis and decision-making, especially involving multiple stakeholders. Even when only one person is responsible for every aspect of analysis and decision-making, visualisation may still play a significant role in how uncertainty is understood--i.e. in how the decision-maker 'communicates uncertainty to themselves.'
Using the right visualisation tools can have a positive impact on decision quality. But this positive impact should never be taken for granted: visualisations can also have unexpected side-effects, and there is the risk that they can be misinterpreted or otherwise misused.
This primer, published by the Analysis under Uncertainty for Decision-Making network (AU4DM), summarises the current state of the art of uncertainty visualisation research. It brings together a wealth of relevant studies, concepts, and practical tools and recommendations. It also represents research-in-progress: an open invitation for researchers in visualisation, decision analysis, psychology, and other fields to share their findings and to contribute to future editions.
Reviews