Evaluation of Data Visualisation Options for Land-Use Policy and Decision Making in Response to Climate Change

Abstract

Decision makers are facing unprecedented challenges in addressing the likely impacts of climate change on land use. Changes to climate can affect the long-term viability of certain industries in a particular geographical location. Government policies in relation to provision of infrastructure, management of water, and incentives for revegetation need to be planned. Those responsible for key decisions are unlikely to be expert in all aspects of climate change or its implications, and thus require scientific data communicated to them in an easily understood manner with the scope to explore the implications. It is often felt that a range of visualisation techniques, both abstract and realistic, can assist in this communication. However, their effectiveness is seldom evaluated. In this paper we review the literature on processes for the evaluation of visualisation tools and representations. From this review an evaluation framework is developed and applied through an experiment in visualisation of climate change, land suitability, and related data using a variety of tools and representational options to advance our knowledge of which visualisation technique works, when, and why. Our region of interest was the southwestern part of Victoria, Australia. Both regional and local data and their implications were presented to end users through a series of visualisation products. The survey group included policy makers, decision makers, extension staff, and researchers. They explored the products and answered both specific and exploratory questions. At the end of the evaluation session their knowledge and attitudes were compared with those at the commencement and they were also asked to assess the visualisation options subjectively. The findings relate to both the visualisation options themselves and the process of evaluation. The survey group was particularly keen to have access to multiple interactive tools and the ability to see scenarios side-by-side within a deeper informational context. A number of procedural recommendations for further evaluation were developed, including the need for consistency in approach among researchers in order to develop more generalisable findings.