New algorithms for effectively visualising Australian spatio-temporal disease data
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Stephanie Kobakian Thesis
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Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
This thesis contributes to improvements in effectively communicating population related cancer distributions and the associated burden of cancer on Australian communities. This thesis presents a new algorithm for creating an alternative map displays of tessellating hexagons. Alternative map displays can emphasise statistics in countries that contain densely populated cities. It is accompanied by a software implementation that automates the choice of one hexagon to represent each geographic unit, ensuring the statistic for each is equitably presented. The case study comparing a traditional choropleth map to the alternative hexagon tile map contributes to a growing field of visual inference studies.
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| ID Code: | 203908 |
|---|---|
| Item Type: | QUT Thesis (Master of Philosophy) |
| Supervisor: | Mengersen, Kerrie, Duncan, Earl, & Cook, Dianne |
| Keywords: | choropleth, geospatial statistics, statistical graphics, tile maps, visual inference, cartogram, data science, information visualisation |
| DOI: | 10.5204/thesis.eprints.203908 |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Schools > School of Mathematical Sciences |
| Institution: | Queensland University of Technology |
| Deposited On: | 08 Oct 2020 07:05 |
| Last Modified: | 08 Oct 2020 07:05 |
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