Bridging the visualization gap in time series analysis through spatialization
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Authors
Borna, Kambiz
Moore, A.B.
Moore, A.B.
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2024-08
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Conference Contribution - Oral Presentation
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AUD/NZD exchange rate
financial time series data
time series data
financial markets
spatialisation
financial time series data
time series data
financial markets
spatialisation
ANZSRC Field of Research Code (2020)
Citation
Borna, K. & Moore, A.B. (204, August, 21-23). Bridging the visualization gap in time series analysis through spatialization [Paper presentation]. GeoCart'2024, 11th National Cartographic Conference, Cartographic Endeavours: From Paper to Pixels, Wellington, New Zealand.
https://hdl.handle.net/10652/6753
Abstract
This paper introduces a new method based on spatialization to bridge the visualization gap for time-oriented data. We first develop a 2D time-based framework using linear, cyclic, and branching concepts of time, which allows all time elements to be directly utilized for data visualization and analysis. This framework is then used to integrate attribute data, such as exchange rates, adding a third dimension to create a 3D map. We use the AUDNZD exchange rate for testing, and our results highlight the potential of the proposed method to enhance both the visualization and analysis of time-oriented data.
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