Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10352163 | Computers, Environment and Urban Systems | 2005 | 24 Pages |
Abstract
Climate change is an issue that will increasingly require policy consideration, but for which knowledge and information at the local or landscape scale is either lacking or largely inaccessible. This paper explores the possibility of reinterpreting climate impacts information and presenting it through GIS-based visualisations in a manner that might assist decision-making at the local level. A GIS database was constructed for an agricultural landscape in Norfolk. Future land-use changes under climate change scenario for the 2020s, provided by a land use allocation model at 1 km grid-square resolution, were downscaled to the field-level database using a series of decision rules. The predicted land use changes were then visualised using photorealistic image rendering software. As a technical exercise this work illustrates the extent of recent advances in GIS-based visualisation, but it is also recognised that there needs to be further work on a range of topics (including impact assessment methodologies, the representation of uncertainty and design guidelines) if such images are to be widely used as a information provision and decision support tool in relation to climate change.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Trudie Dockerty, Andrew Lovett, Gilla Sünnenberg, Katy Appleton, Martin Parry,