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dc.contributor.authorBorna, Kambiz
dc.contributor.authorMoore, A.B.
dc.date.accessioned2023-05-15T23:43:26Z
dc.date.available2023-05-15T23:43:26Z
dc.date.issued2022-08-24
dc.identifier.urihttps://hdl.handle.net/10652/5956
dc.description.abstractTime 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.en_NZ
dc.language.isoenen_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectBitcoinen_NZ
dc.subjectfinancial time series dataen_NZ
dc.subjecttime series dataen_NZ
dc.subjectfinancial marketsen_NZ
dc.subjectspatialisationen_NZ
dc.titleA three-dimensional mapping of financial time series data using spatialisationen_NZ
dc.typeConference Contribution - Oral Presentationen_NZ
dc.date.updated2023-03-23T13:30:17Z
dc.rights.holderAuthorsen_NZ
dc.subject.marsden350203 Financial econometricsen_NZ
dc.identifier.bibliographicCitationBorna, 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 Zealanden_NZ
unitec.publication.titleGeoCart'2022, 10th Cartographic Conferenceen_NZ
unitec.conference.titleGeoCart'2022, 10th National Cartographic Conferenceen_NZ
unitec.conference.locationWellington, New Zealanden_NZ
unitec.conference.sdate2022-08-24
unitec.conference.edate2022-08-26
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationUniversity of Otagoen_NZ
unitec.identifier.roms69175en_NZ
unitec.identifier.roms70595
unitec.institution.studyareaAccounting and Financeen_NZ


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