A three-dimensional mapping of financial time series data using spatialisation

Borna, Kambiz; Moore, A.B.

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Date
2022-08-24
Citation:
Borna, K. & Moore, A.B. (2022, August, 24-26) A three-dimensional mapping of financial time series data using spatialisation [Paper presentation]. GeoCart'2022, 10th National Cartographic Conference, Wellington, New Zealand
Permanent link to Research Bank record:
https://hdl.handle.net/10652/5956
Abstract
Time series comprises data on some attribute gathered at different points in time which is ordered chronologically [1]. The representation of time series is performed via a two dimensional profile view, where the x-axis represents time intervals, and the y-axis represents a variable of interest, e.g., the daily closing Bitcoin prices. In this example, the geometric relationship between observations is formed via an irregular horizontal line that directly links the Bitcoin prices at different time intervals, or a mathematical function fitted to the observations.
Keywords:
Bitcoin, financial time series data, time series data, financial markets, spatialisation
ANZSRC Field of Research:
350203 Financial econometrics
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