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  • 标题:Cartograms Facilitate Communication of Climate Change Risks and Responsibilities
  • 作者:Petra Döll
  • 期刊名称:Earth's Future
  • 电子版ISSN:2328-4277
  • 出版年度:2017
  • 卷号:5
  • 期号:12
  • 页码:1182-1195
  • DOI:10.1002/2017EF000677
  • 语种:English
  • 出版社:John Wiley & Sons, Ltd.
  • 摘要:

    Abstract

    Communication of climate change (CC) risks is challenging, in particular if global‐scale spatially resolved quantitative information is to be conveyed. Typically, visualization of CC risks, which arise from the combination of hazard, exposure and vulnerability, is confined to showing only the hazards in the form of global thematic maps. This paper explores the potential of contiguous value‐by‐area cartograms, that is, distorted density‐equalizing maps, for improving communication of CC risks and the countries'' differentiated responsibilities for CC. Two global‐scale cartogram sets visualize, as an example, groundwater‐related CC risks in 0.5° grid cells, another one the correlation of (cumulative) fossil‐fuel carbon dioxide emissions with the countries'' population and gross domestic product. Viewers of the latter set visually recognize the lack of global equity and that the countries'' wealth has been built on harmful emissions. I recommend that CC risks are communicated by bivariate gridded cartograms showing the hazard in color and population, or a combination of population and a vulnerability indicator, by distortion of grid cells. Gridded cartograms are also appropriate for visualizing the availability of natural resources to humans. For communicating complex information, sets of cartograms should be carefully designed instead of presenting single cartograms. Inclusion of a conventionally distorted map enhances the viewers'' capability to take up the information represented by distortion. Empirical studies about the capability of global cartograms to convey complex information and to trigger moral emotions should be conducted, with a special focus on risk communication.

  • 关键词:cartogram;risk communication;climate change;visualization
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