Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal Mapping

Arni S.R. Srinivasa Rao; Steven G. Krantz

Patterns (Aug 2020)

Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal Mapping

Arni S.R. Srinivasa Rao,
Steven G. Krantz

Affiliations

Arni S.R. Srinivasa Rao: Division of Health Economics and Modeling, Department Population Health Sciences Medical College of Georgia, Augusta University, Augusta, USA; Laboratory for Theory and Mathematical Modeling, Division of Infectious Diseases, Department of Medicine, Medical College of Georgia, Augusta, GA 30912, USA; Department of Mathematics, Augusta University, Augusta, GA 30912, USA; Corresponding author
Steven G. Krantz: Department of Mathematics, Washington University in St. Louis, Campus Box 1146, One Brookings Drive, St. Louis, MO 63130, USA

Journal volume & issue: Vol. 1, no. 5
p. 100067

Abstract

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We highlight the advantages of virtual tourism and the use of data science to improve existing television and internet-based experiences with new technologies. Information geometry and conformal mappings can improve audiovisual experiences based on drone recordings. The data collection, assimilation, and transformation requirements for a seamless and user-friendly service are discussed along with the precautions to ensure that this technology is used appropriately to protect human safety and the environment.

Published in Patterns

ISSN: 2666-3899 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: https://www.cell.com/patterns

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