Computing and Information Systems - Research Publications

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Author: Sinnott, Richard × Author: Stimson, Robert × End date: 2019 × Start date: 2010 × Type: Conference Paper × Subject: AURIN ×

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    The AURIN e-Infrastructure: design, development and delivery
    Tomko, M. ; Bayliss, C. ; Galang, G. ; Greenwood, P. ; Koetsier, J. ; Mannix, D. ; Morandini, L. ; Nino-Ruiz, M. ; Pettit, C. ; Sarwar, M. ; VOORSLUYS, W. ; Widjaja, I. ; STIMSON, R. ; Sinnott, R.O. ( 2012)
    The Australian Urban Research Infrastructure Network (AURIN - www.aurin.org.au) is a $20m SuperScience initiative that seeks to support nationwide research across the urban and built environment. The project began in mid-2010 and is due to run to mid-2015. The urban and built environment community is extremely diverse and covers areas as disparate as population demographics, transport, logistics, housing, health, energy and water consumption, through to the future challenges facing the growth of urban settlements. To tackle the many challenges facing urban researchers, access to a wide array of distributed data sets and analytical and visualization tools is essential. These data sets come from a range of national and State-based agencies such as the Australian Bureau of Statistics (ABS), from industrial and commercial data providers such as utility companies, from research institutions and the researchers themselves, as well as through social media, e.g. Twitter. The AURIN project has defined and prototyped a common architecture (e-Infrastructure) that is intended to make the access to and use of data resources and tools transparent to the research community. This paper describes the architecture that has been developed, its implementation and the supporting tools used in its development, testing and deployment. It provides an overview of the systems that have been developed thus far to realize the technical architecture and the experiences learnt in delivery of the e-Infrastructure.
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    AURIN What If?: decision support for projections of land use allocations
    NINO-RUIZ, MARCOS ; PETTIT, CHRISTOPHER ; TOMKO, MARTIN ; Stimson, Robert J. ; Sinnott, Richard O. ( 2012)
    It is increasingly important to understand land use issues to fully assess the effects of environmental change and urban regeneration scenarios. Land use decisions may have a profound impact on biodiversity, reduced land productivity due to soil degradation, and contribute to land and water shortage (Searchinger et al., 2008). A scenario-based Land Use Allocation (LUA) is one strategy for understanding land use options (Bryan et al., 2011; Fiorese and Guariso, 2010). LUA can be broadly defined as the medium to long-term strategic planning process by which land managers consider diverse environmental, social and economic factors, before choosing how land should be allocated and used in a given region. In LUA, an assessment is typically made to identify the most appropriate multidimensional pattern to achieve a desirable goal incorporating spatial, biophysical, economical and political dimensions (Malczewski, 2004). Frequently, environmental models and research tools that attempt to support these projections of land use allocations are built upon frameworks and programming languages which are tailor-made for a particular purpose, and not easily extended to support a wider sharing of resources and collaborative work (Li, 2007). The AURIN project has enhanced one leading scenario optimization based tool: What If?™(Klosterman, 1999), and made this a core part of its e-Infrastructure. This paper describes the What If? tool and demonstrates its application in AURIN.