Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Representation of paleomagnetic data in virtual globes (a case study from the Pyrenees)

Mochales, Tania and Blenkinsop, Thomas G. ORCID: https://orcid.org/0000-0001-9684-0749 2014. Representation of paleomagnetic data in virtual globes (a case study from the Pyrenees). Computers & Geosciences 70 , pp. 56-62. 10.1016/j.cageo.2014.05.013

[thumbnail of Mochales and BlenkinsopEDITS.pdf]
Preview
PDF - Accepted Post-Print Version
Download (2MB) | Preview

Abstract

Virtual globes allow geo-referencing and visualisation of diverse geologic datasets. A vertical axis paleomagnetic rotation study in the Southern Pyrenees, Spain, is used to illustrate the potential of virtual globes for representing paleomagnetic data. A macro enabled workbook that we call P2K, allows KML files to be generated from conventional paleomagnetic datasets. Cones and arch models are used to represent the paleomagnetic vector, and the rotation with regard to the local reference direction, respectively. This visualization provides simultaneous representation of local magnetic declination, inclination and precise confidence cones, shown in their geographic position from diverse perspectives and scales.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Earth and Environmental Sciences
Subjects: Q Science > Q Science (General)
Uncontrolled Keywords: Virtual globe; KML; KMZ; paleomagnetism; Google Earth; visualization.
Additional Information: PDF uploaded in accordance with publisher's policies at http://www.sherpa.ac.uk/romeo/issn/0098-3004/ (accessed 12.05.16). This journal has an embargo period of 24 months.
Publisher: Elsevier
ISSN: 0098-3004
Date of First Compliant Deposit: 12 May 2016
Last Modified: 06 Nov 2023 21:15
URI: https://orca.cardiff.ac.uk/id/eprint/60342

Citation Data

Cited 10 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics