J
2021
Big data-driven urban geopolitics, interconnected sensor networks, and spatial cognition algorithms in smart city software systems
MITCHELL, Thomas and Tomáš KRULICKÝ
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
Type of outcome
Článek v odborném periodiku
Field of Study
50200 5.2 Economics and Business
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
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
V originále
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.
Displayed: 18/11/2024 02:25