Tailoring the visual communication of climate projections for local adaptation practitioners in Germany and the UK
暂无分享,去创建一个
Susanne Lorenz | Jouni Paavola | Suraje Dessai | Piers M Forster | P. Forster | J. Paavola | S. Dessai | S. Lorenz | Susanne Lorenz
[1] S. Linden. The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model , 2015 .
[2] Taciano L Milfont,et al. The Interplay Between Knowledge, Perceived Efficacy, and Concern About Global Warming and Climate Change: A One‐Year Longitudinal Study , 2012, Risk analysis : an official publication of the Society for Risk Analysis.
[3] Anthony Leiserowitz,et al. Misinterpretations of the “Cone of Uncertainty” in Florida during the 2004 Hurricane Season , 2007 .
[4] L. Dilling,et al. Creating usable science: Opportunities and constraints for climate knowledge use and their implications for science policy , 2011 .
[5] Jessica S. Ancker,et al. The Practice of Informatics: Design Features of Graphs in Health Risk Communication: A Systematic Review , 2006, J. Am. Medical Informatics Assoc..
[6] Baruch Fischhoff,et al. Applying the science of communication to the communication of science , 2011 .
[7] Stewart J. Cohen,et al. Future visioning of local climate change: A framework for community engagement and planning with scenarios and visualisation , 2011 .
[8] Sirkku Juhola,et al. Challenges of adaptation to climate change across multiple scales: A case study of network governance in two European countries , 2011 .
[9] A. Leiserowitz,et al. How to communicate the scientific consensus on climate change: plain facts, pie charts or metaphors? , 2014, Climatic Change.
[10] Neville Nicholls,et al. Cognitive Illusions, Heuristics, and Climate Prediction , 1999 .
[11] J. Pallant. SPSS survival manual : a step-by-step guide to data analysis using SPSS version 15 , 2007 .
[12] Elisabeth Stephens,et al. Communicating probabilistic information from climate model ensembles—lessons from numerical weather prediction , 2012 .
[13] John F. B. Mitchell,et al. The next generation of scenarios for climate change research and assessment , 2010, Nature.
[14] J. A. P. Oliveira. The implementation of climate change related policies at the subnational level: An analysis of three countries , 2009 .
[15] A. Vedlitz,et al. The effect of perceived and assessed knowledge of climate change on public policy concerns: An empirical comparison , 2014 .
[16] Susanne C. Moser,et al. Communicating adaptation to climate change: the art and science of public engagement when climate change comes home , 2014 .
[17] Alfons Maes,et al. Would you prefer pie or cupcakes? Preferences for data visualization designs of professionals and laypeople in graphic design , 2014, J. Vis. Lang. Comput..
[18] S. Lorenz,et al. The communication of physical science uncertainty in European National Adaptation Strategies , 2013, Climatic Change.
[19] F. G. Martínez,et al. Interpretations of the Flood , 1998 .
[20] S. Cooper,et al. Sub-national Responses to Climate Change in England: Evidence from Local Area Agreements , 2011 .
[21] Deborah Hemming,et al. Mapping the climate: guidance on appropriate techniques to map climate variables and their uncertainty , 2011 .
[22] Luc Anselin,et al. Visualizing Seismic Risk and Uncertainty , 2008, Annals of the New York Academy of Sciences.
[23] Debra Knopman,et al. Success matters: Recasting the relationship among geophysical, biological, and behavioral scientists to support decision making on major environmental challenges , 2006 .
[24] Robert J. Moorhead,et al. A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets , 2009, IEEE Transactions on Visualization and Computer Graphics.
[25] P. Wolski,et al. Interpreting climate data visualisations to inform adaptation decisions , 2015 .
[26] Baruch Fischhoff,et al. A method to evaluate the usability of interactive climate change impact decision aids , 2014, Climatic Change.
[27] Serge Planton,et al. Annex III: glossary , 2013 .
[28] Thorsten Wagener,et al. Ten guidelines for effective data visualization in scientific publications , 2011, Environ. Model. Softw..
[29] James J. Porter,et al. The Right Stuff? Informing Adaptation to Climate Change in British Local Government , 2015 .
[30] Richard B. Rood,et al. Climate projections and their impact on policy and practice , 2010 .
[31] P. Ubel,et al. Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale , 2007, Medical decision making : an international journal of the Society for Medical Decision Making.
[32] W. T. Tucker,et al. Strategies for Risk Communication , 2008, Annals of the New York Academy of Sciences.
[33] D. Demeritt,et al. The UK Climate Change Programme and communication with local authorities , 2004 .
[34] Christine J. Kirchhoff,et al. Narrowing the climate information usability gap , 2012 .
[35] Ariel Malka,et al. The Association of Knowledge with Concern About Global Warming: Trusted Information Sources Shape Public Thinking , 2009, Risk analysis : an official publication of the Society for Risk Analysis.
[36] Oliver Gebhardt,et al. Barriers and opportunities for urban adaptation planning: analytical framework and evidence from cities in Latin America and Germany , 2013, Mitigation and Adaptation Strategies for Global Change.
[37] D. Huitema,et al. Climate policy innovation:The adoption and diffusion of adaptation policies across Europe , 2014 .
[38] Fabiola Cristina Rodríguez Estrada,et al. Improving Visual Communication of Science Through the Incorporation of Graphic Design Theories and Practices Into Science Communication , 2015 .
[39] J Pallant,et al. A step by step to guide to data analysis using SPSS: SPSS survival Manual. , 2007 .
[40] Mark Gahegan,et al. Four barriers to the development of effective exploratory visualisation tools for the geosciences , 1999, Int. J. Geogr. Inf. Sci..
[41] H. Füssel. Adaptation planning for climate change: concepts, assessment approaches, and key lessons , 2007 .
[42] Sophie A. Nicholson-Cole. Representing climate change futures: a critique on the use of images for visual communication , 2005, Comput. Environ. Urban Syst..
[43] Kelly A. Dorgan,et al. Risk Comprehension and Judgments of Statistical Evidentiary Appeals: When a Picture Is Not Worth a Thousand Words. , 2005 .
[44] E. Mohammadi,et al. Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[45] Kelly A. Dorgan,et al. Risk Comprehension and Judgments of Statistical Evidentiary Appeals , 2005 .
[46] Miriah D. Meyer,et al. Information visualisation for science and policy: engaging users and avoiding bias. , 2014, Trends in ecology & evolution.
[47] Dawei Han,et al. Automated Thiessen polygon generation , 2006 .
[48] D. Lüthi,et al. The role of increasing temperature variability in European summer heatwaves , 2004, Nature.
[49] M. Pelling,et al. Shadow Spaces for Social Learning: A Relational Understanding of Adaptive Capacity to Climate Change within Organisations , 2008 .
[50] Mike Pearson,et al. Visualizing Uncertainty About the Future , 2022 .
[51] Reinhard Steurer,et al. The Governance of Climate Change Adaptation in 10 OECD Countries: Challenges and Approaches , 2012 .
[52] G. Gigerenzer. Ecological intelligence: An adaptation for frequencies , 1997 .
[53] Florian Pappenberger,et al. Visualizing probabilistic flood forecast information: expert preferences and perceptions of best practice in uncertainty communication , 2011 .
[54] Andrew P. Morse,et al. Visualizing the uncertainty in the relationship between seasonal average climate and malaria risk , 2014, Scientific Reports.
[55] M. Simpson. Global Climate Change Impacts in the United States , 2011 .
[56] L. Gimesi. Development of a visualization method suitable to present tendencies of changes in precipitation , 2009 .
[57] Charles G. Martin,et al. Influence of data display formats on physician investigators' decisions to stop clinical trials: prospective trial with repeated measures , 1999, BMJ.
[58] G. Vulturius,et al. Overcoming social barriers to learning and engagement with climate change adaptation: experiences with Swedish forestry stakeholders , 2015 .
[59] Michael Siegrist,et al. Risk communication with pictographs: The role of numeracy and graph processing , 2011, Judgment and Decision Making.
[60] B. Fischhoff,et al. The role of social and decision sciences in communicating uncertain climate risks , 2011 .
[61] A. Kumar,et al. Hell and High Water: Practice-Relevant Adaptation Science , 2013, Science.
[62] M. Granger Morgan,et al. Graphical Communication of Uncertain Quantities to Nontechnical People , 1987 .
[63] Miroslav Sirota,et al. Ecological rationality or nested sets? Individual differences in cognitive processing predict Bayesian reasoning , 2014, Psychonomic bulletin & review.
[64] M. Fishbein,et al. Understanding tailoring in communicating about health. , 2008, Health education research.
[65] Henry Rothstein,et al. Risk and the limits of governance: Exploring varied patterns of risk‐based governance across Europe , 2013 .
[66] Tommy Gärling,et al. Cognitive and affective risk judgements related to climate change , 2007 .