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

Language

English

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

References:

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
Změněno: 14/12/2021 08:19, Mgr. Nikola Petříková

Abstract

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.