ABSTRACT. This paper provides a systematic literature review of studies investigating data modeling and virtual navigation tools, dynamic routing technology, and conversational artificial intelligence in the metaverse economy. The analysis highlights that spatial awareness and tracking tools enable immersive shopping experiences, shaping customer preferences across the augmented reality-based commerce landscape. Throughout April 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the virtual economy of the metaverse” + “geospatial mapping technologies,” “predictive modeling algorithms,” and “immersive visualization systems.” As I inspected research published in 2022, only 124 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 18, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.

Keywords: real-time data tracking tools; retail metaverse; customer identification technology; spatial cognition algorithms; data modeling and virtual navigation tools; dynamic routing technology

How to cite: Balica, R.-Ș. (2022). “Geospatial Mapping Technologies, Predictive Modeling Algorithms, and Immersive Visualization Systems in the Virtual Economy of the Metaverse,” Review of Contemporary Philosophy 21: 138–153. doi: 10.22381/RCP2120229.

Received 27 May 2022 • Received in revised form 23 August 2022
Accepted 26 August 2022 • Available online 30 August 2022

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