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Supporting Web-based Scientific Spatial Data Exploration and Analysis. Philip Greenwood 1, Ivo Widjaja 1, William Voorsluys 1, Jos Koetsier 1, Martin Tomko.

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Presentation on theme: "Supporting Web-based Scientific Spatial Data Exploration and Analysis. Philip Greenwood 1, Ivo Widjaja 1, William Voorsluys 1, Jos Koetsier 1, Martin Tomko."— Presentation transcript:

1 Supporting Web-based Scientific Spatial Data Exploration and Analysis. Philip Greenwood 1, Ivo Widjaja 1, William Voorsluys 1, Jos Koetsier 1, Martin Tomko 2, Richard Sinnott 1

2 AURIN Technical Team Philip Greenwood – Analytics and Geospatial e-Enabler (Feb 2012) Marcos Nino-Ruis – Geospatial e-Enabler (Feb 2012) Ivo Widjaja – Data e-Enabler (Nov 2011) Damien Mannix (.6) – Security e-Enabler (Jan 2012) William Voorsluys – Workflow e-Enabler (Apr 2012) Luca Morandini– Data Architect (Apr 2012) Gerson Galang – (May 2011) – e-Enabler (Feb 2012) - What If? Jos Koetsier – Security/Metadata e-Enabler (Nov 2011) Chris Bayliss – Admin/developer MEG e-Enabler (Jul 2011) Sulman Sarwar – Portal/Service e-Enabler (Nov 2011) Richard Sinnot - Technical Architect Martin Tomko - Senior Project Manager Information Infrastructure Design

3 AURIN Overview aurin.org.au portal.aurin.org.au

4 AURIN User Interface

5 User Interaction Logic

6 Geographical Classification Graph

7 1.Population and Demographic Futures and Benchmarked Social Indicators. 2. Economic Activity and Urban Labour Markets. 3.Urban Health, Well-being and Quality of Life. 4.Urban Housing. 5.Urban Transport. 6.Urban Energy and Water Supply and Consumption. 7.City Logistics. 8.Urban Vulnerability and Risk. 9.Urban Governance, Policy and Management. 10.Innovative Urban Design. AURIN Lenses

8 Technical Architecture

9 A Sketch of a Possible Workflow UI

10 scalechartsdescriptive statisticsanalytical statistics nominal bar chart (possibly multiple variables), scatter (with a continuous variable) mode, cross-tabulation(2 variables) cross-tabulation with chi statistic (2 variables) ordinal bar chart (possibly multiple variables), histogram, scatter (with a continuous variable) median, percentile, cross- tabulation (2 variables) cross-tabulation with chi statistic (2 variables) interval histogram, scatterplot (2 variables), box plot mean, median, standard deviation correlation (2 variables), regression (multiple variables), anova, factor analysis ratio histogram, scatterplot (2 variables), box plot mean, median, arithmetic mean, geometric mean, harmonic mean, coefficient of variation, Correlation (2 variables), regression (multiple variables), anova, factor analysis Guided Analyses


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