MITCHELL, Thomas and Tomáš KRULICKÝ. Big data-driven urban geopolitics, interconnected sensor networks, and spatial cognition algorithms in smart city software systems. Geopolitics, History, and International Relations. New York, USA: Addleton Academic Publishers, 2021, vol. 13, No 2, p. 9-22. ISSN 1948-9145.
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Basic information
Original name Big data-driven urban geopolitics, interconnected sensor networks, and spatial cognition algorithms in smart city software systems
Authors MITCHELL, Thomas (guarantor) and Tomáš KRULICKÝ (203 Czech Republic, belonging to the institution).
Edition Geopolitics, History, and International Relations, New York, USA, Addleton Academic Publishers, 2021, 1948-9145.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002212
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English city; interconnected; network; sensor; smart; system
Tags NE_MIE, RIV21, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 14/12/2021 08:19.
Abstract
The authors aim is to analyzes the outcomes of an exploratory review of the current research on big data-driven urban geopolitics, interconnected sensor networks, and spatial cognition algorithms in smart city software systems. The data used for this study was obtained and replicated from previous research conducted by Capgemini, City of Sydney, ESI ThoughtLab, and KPMG.
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