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Visualizing climate change impact with ubiquitous spatial technologies

Authors :
Bennett, R.M.
Pettit, C.
Aurambout, J.P.
Sheth, F.
Senot, H.
Soste, L.
Sposito, V.
Guilbert, Eric
Lees, Brian
Leung, Yee
Faculty of Geo-Information Science and Earth Observation
Department of Urban and Regional Planning and Geo-Information Management
UT-I-ITC-PLUS
Source :
Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science: 26-28 May 2010, Hong Kong, Hong Kong, Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
Publication Year :
2010
Publisher :
International Society for Photogrammetry and Remote Sensing (ISPRS), 2010.

Abstract

This paper further articulates the role of ubiquitous spatial technologies (e.g. Google Earth) as tools for analyzing, visualizing, and developing policy responses to predicted climate change impacts. Specifically, the efficiency and effectiveness of using the tools in the production of visualizations for the local level is studied. A brief background to climate change response reveals limited data and visualizations at the local level: ubiquitous spatial technologies can potentially fill the void. Case study data including temperature, rainfall and land suitability information from southwest Victoria (Australia) are used to test the hypothesis. The research team produced thirty short visualizations using minimal time, resources and a moderate skill base. The effectiveness of the visualizations was tested on a diverse group of stakeholders. It was found that the visuals provided contextual information and understandings of overarching climate change trends, however, integration with other datasets and higher levels of detail are required if the platform is to be used as a stand alone policy development tool. Moreover, the need to further develop design guidelines to guard against, or at least inform users about visual sensationalism is required.

Subjects

Subjects :
ADLIB-ART-4647

Details

Language :
English
Database :
OpenAIRE
Journal :
Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science: 26-28 May 2010, Hong Kong, Hong Kong, Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
Accession number :
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