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Personal profile

Biography

Dr Sarah Goodwin is a Lecturer with the Immersive Analytics Lab (IALab).  She is interested in exploring creative visual analytic solutions for complex, multi-dimensional and geospatial data sets. 

Her research focuses on novel geospatial visualisation techniques and user-centred visualisation design methodologies. She works with Monash's Energy Material and Systems Institute (MEMSI) to explore visualisation opportunities for the energy sector. She recieved her PhD in 2015 from City, University of London, where her focus was on visualisation for energy analysts. She exlpored residential consumer segmentation and smart home data analysis in the UK, focusing on revealling the effects of scale and geography on multivariate analysis.  

Sarah has an academic and professional background in geospatial analysis and information visualisation, having worked for over 15 years as a GIS technician, geo-data analyst, consultant and a researcher for some of the leading research centres for spatial analysis and visualisation around the world, including the giCentre at City University in London, UK; the g2Lab at HafenCity University in Hamburg, Germany and the Geospatial Science Department at RMIT University.

Sarah's work on methodologies, focus on the use of creativity workshops in visualisation design studies with domain experts. Along with Energy Analysts, Sarah has worked closely with domain experts in different fields, including Epidemiologists and Spatial Modellers from Peter Doherty Institute, Melbourne University and Queensland University of Technology (2016-2017) to explore disease model and uncertainty visualisation for different user groups, as well as Constraint Programmers, within Monash's Optimisation Research Group (2015-2016), to explore visual profiling solutions for combinatorial optimisation problems.

Research interests

  • Infovis Design Studies and Methodologies
  • Creativity Techniques and Workshops
  • Geographical Information Visualisation
  • Spatial Temporal Visual Analytics
  • Human Computer Interaction
  • Multidimensional Data Visualisation
  • Geodemographics
  • Uncertainty Visualisation
  • Energy, Smart and Micro Grid Visualisation
  • Movement and Flow Data Visualisation
  • City and Urban Data Visualisation

Keywords

  • Visualization
  • Analytics and big data
  • Energy
  • Computer Graphics
  • Smart grid
  • HCI
  • Smart Cities
  • Geostatistics
  • GIS
  • Spatial temporal statistics
  • Spatial cognition
  • Creativity

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2020

Research Output 2012 2019

  • 6 Article
  • 3 Conference Paper

What-why analysis of expert interviews: analysing geographically-embedded flow data

Yang, Y. & Goodwin, S., Apr 2019, (Accepted/In press) Proceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019: 23-26 April 2019 Bangkok, Thailand. Maciejewski, R., Seo, J. & Westermann, R. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

A framework for creative visualization-opportunities workshops

Kerzner, E., Goodwin, S., Dykes, J., Jones, S. & Meyer, M., Jan 2018, In : IEEE Transactions on Visualization and Computer Graphics. 25, 1, p. 748-758 11 p.

Research output: Contribution to journalArticleResearchpeer-review

Many-to-many geographically-embedded flow visualisation: An evaluation

Yang, Y., Dwyer, T. G., Goodwin, S. & Marriott, K., Jan 2017, In : IEEE Transactions on Visualization and Computer Graphics. 23, 1, p. 411-420 10 p., 7539669.

Research output: Contribution to journalArticleResearchpeer-review

Visual encoding of dissimilarity data via topology-preserving map deformation

Bouts, Q. W., Dwyer, T., Dykes, J., Speckmann, B., Goodwin, S., Riche, N. H., Carpendale, S. & Liebman, A., 1 Sep 2016, In : IEEE Transactions on Visualization and Computer Graphics. 22, 9, p. 2200-2213 14 p., 7328332.

Research output: Contribution to journalArticleResearchpeer-review