Virtual Modeling and Remote Sensing Technologies, Spatial Cognition and Neural Network Algorithms, and Visual Analytics Tools in Urban Geopolitics and Digital Twin Cities
Virtual Modeling and Remote Sensing Technologies, Spatial Cognition and Neural Network Algorithms, and Visual Analytics Tools in Urban Geopolitics and Digital Twin Cities

Summary/Abstract: The aim of this systematic review is to synthesize and analyze networked and integrated urban technologies, digital twin modeling tools, and spatio-temporal fusion algorithms. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2022, with search terms including “urban geopolitics and digital twin cities” + “virtual modeling and remote sensing technologies,” “spatial cognition and neural network algorithms,” and “visual analytics tools.” As we analyzed research published between 2021 and 2022, only 166 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 27, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.

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