Developing a multi-scale visualisation framework for use in climate change response

被引:0
|
作者
Pettit, Christopher [1 ,2 ]
Bishop, Ian [3 ]
Sposito, Victor [2 ]
Aurambout, Jean-Philippe [2 ]
Sheth, Falak [2 ]
机构
[1] Univ Melbourne, Fac Architecture Bldg & Planning, Parkville, Vic 3010, Australia
[2] Victorian Dept Primary Ind, Carlton, Vic 3052, Australia
[3] Univ Melbourne, Dept Infrastruct Engn, Parkville, Vic 3010, Australia
关键词
Digital globes; Systems thinking; Climate change; Landscape planning; Landscape visualisation; PLANNING SUPPORT-SYSTEM; LANDSCAPE VISUALIZATION; DECISION-MAKING; SCENIC BEAUTY; NATIONAL-PARK; MANAGEMENT; AUSTRALIA; REALISM; POLICY; TECHNOLOGIES;
D O I
10.1007/s10980-012-9716-5
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Climate change is predicted to impact countries, regions and localities differently. However, common to the predicted impacts is a global trend toward increased levels of carbon dioxide and rising sea levels. Governments and communities need to take into account the likely impacts of climate on the landscape, both built and natural. There is a growing and significant body of climate change research. Much of this information produced by domain experts for a range of disciplines is complex and difficult for planners, decision makers and communities to act upon. The need to communicate often complex scientific information which can be used to assist in the planning cycle is a key challenge. This paper draws from a range of international examples of the use of visualisation in the context of landscape planning to communicate climate change impact and adaptation options within the context of the planning cycle. Missing from the literature, however, is a multi-scalar approach which allows decision makers, planners and communities to seamlessly explore scenarios at their special level of interest, as well as to collectively understand what is driving these at a larger scale, and what the implications are at ever more local levels. Visualisation tools such as digital globes provide one way to bring together multi-scaled spatial-temporal datasets. We present an initial development with this goal in mind. Future research is required to determine the best tools for communicating particular complex scientific data and also to better understand how visualisation can be used to improve the landscape planning process.
引用
收藏
页码:487 / 508
页数:22
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