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Julia Piantadosi
University of South Australia
39Publications
12H-index
322Citations
Publications 39
Newest
#1He HeH-Index: 2
Last.John BolandH-Index: 23
view all 4 authors...
Understanding the relationships between the Australian economic system and waste generation from intermediate sectors and households is a prerequisite for planning and implementing waste management strategies at a national scale. Data of waste generation accounts link to those of national economic accounts. However, in Australia, some years’ data are absent and so these links cannot be made. To rectify this data gap, this paper interpolates and extrapolates the Australian input-output table (IOT...
#1Noor Fadhilah Ahmad Radi (UniMAP: Universiti Malaysia Perlis)H-Index: 2
#2Roslinazairimah Zakaria (Universiti Malaysia Pahang)H-Index: 2
Last.Muhammad Az-zuhri Azman (Universiti Malaysia Pahang)H-Index: 2
view all 6 authors...
This study aims to test the appropriateness of multivariate skew-t copula and checkerboard copula of maximum entropy in generating monthly rainfall total data. The generation of synthetic data is important, as it provides hypothetical data in areas for which data availability remains limited. Three selected meteorological stations in Kelantan, Malaysia, Stesen Pertanian Melor, Rumah Pam Salor, and Ladang Lepan Kabu, are considered in this study. Monthly rainfall total data for the driest and wet...
#1Julia Piantadosi (UniSA: University of South Australia)H-Index: 12
#2R. S. Anderssen (CSIRO: Commonwealth Scientific and Industrial Research Organisation)H-Index: 26
Our aim in this study is to generate rainfall totals using multidimensional copulas designed to simulate realistic rainfall statistics that inform analysis of current rainfall patterns and enables better projections for a comprehensive range of future scenarios which can be used as input to ecological models including yield crop simulations for management and risk assessment. To demonstrate the mathematical models, we consider a Case Study of Goyder’s line of reliable rainfall and the goal of ma...
#1John Boland (UniSA: University of South Australia)H-Index: 23
#2Phil Howlett (UniSA: University of South Australia)H-Index: 19
Last.Roslinazairimah Zakaria (Universiti Malaysia Pahang)H-Index: 2
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We discuss modelling and simulation of volumetric rainfall in a catchment of the Murray–Darling Basin – an important food production region in Australia that was seriously affected by a recent prolonged drought. Consequently, there has been sustained interest in development of improved water management policies. In order to model accumulated volumetric catchment rainfall over a fixed time period, it is necessary to sum weighted rainfall depths at representative sites within each sub-catchment. S...
#1Neven A. M. ElSayed (UniSA: University of South Australia)H-Index: 3
#2Bruce H. Thomas (UniSA: University of South Australia)H-Index: 30
Last.Ross T. Smith (UniSA: University of South Australia)H-Index: 13
view all 5 authors...
Abstract This paper introduces the use of Augmented Reality as an immersive analytical tool in the physical world. We present Situated Analytics, a novel combination of real-time interaction and visualization techniques that allows exploration and analysis of information about objects in the user's physical environment. Situated Analytics presents both situated and abstract summary and contextual information to a user. We conducted a user study to evaluate its use in three shopping analytics tas...
#1Christian John Reynolds (USYD: University of Sydney)H-Index: 10
#2Arne Geschke (USYD: University of Sydney)H-Index: 17
Last.John Boland (UniSA: University of South Australia)H-Index: 23
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In publicly available waste reports only the totals of waste produced for municipal, or industry waste typically feature. The types of waste generated and the generating industry sector are usually omitted. We propose the direct inputs waste estimation methodology to create a detailed estimate of municipal solid waste and industrial solid waste for an economy (including sectoral and waste type disaggregation) using a top-down estimation methodology that links the aforementioned limited publicly ...
#2Bruce H. ThomasH-Index: 30
Last.Ross T. SmithH-Index: 13
view all 5 authors...
We consider the question of how Augmented Reality can be used for applications that require interactive analytical reasoning embedded in the physical environment. We present novel interaction and visualization techniques for supporting such reasoning, which we call Situated Analytics. Our approach provides situated and abstract information representation with real-time analytical interaction. Three methods of interaction, filtering, finding and ranking are explored with a diminished reality pres...
#1Christian John Reynolds (UniSA: University of South Australia)H-Index: 10
#2Julia PiantadosiH-Index: 12
Last.John BolandH-Index: 23
view all 3 authors...
In this paper we investigate the economic and environmental efficiency of charities and NGO’s “rescuing” food waste, using a 2008 case study of food rescue organisations in Australia. We quantify the tonnages, costs, and environmental impact of food rescued, and then compare food rescue to other food waste disposal methods composting and landfill. To our knowledge this is the first manuscript to comprehend the psychical flows of charity within an Input-Output framework—treating the charity donat...
#1Rezaul K. Chowdhury (United Arab Emirates University)H-Index: 11
#2Simon Beecham (UniSA: University of South Australia)H-Index: 24
Last.Julia Piantadosi (UniSA: University of South Australia)H-Index: 12
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Rainfall is the key hydroclimatic variable that plays a vital role in the development of regional water management policies. Assessment of observed rainfall behaviour and its spatial and temporal variations are therefore important for climate change adaptation measures. This study assessed trends and step changes in observed annual and seasonal rainfalls across the South Australian region. More than 100 years of high‐quality rainfall data from 53 rainfall stations were analyzed using robust stat...
#1Christian John Reynolds (USYD: University of Sydney)H-Index: 10
#2Julia Piantadosi (UniSA: University of South Australia)H-Index: 12
Last.John Boland (UniSA: University of South Australia)H-Index: 23
view all 5 authors...
This paper uses input–output analysis to model the environmental impacts of the weekly food consumption of Australia's households sorted by income quintile in 2003. We found that weekly food consumption of the relatively better off households caused greater environmental burden than that of the less well-off household.
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