Evidence map›Paper›PMID 40528987›Full record

ReviewFundamental research2025

Spatial data intelligence and city metaverse: A review.

Xiaofeng Meng, Yong Li, Ke Liu, Yu Liu, Bin Yang, Xuan Song, Guoqiong Liao, Senzhang Wang, Ziqiang Yu, Longbiao Chen and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xiaofeng MengSchool of Information, Renmin University of China, Beijing 100872, China.
Yong LiDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Ke LiuDepartment of Information Sciences, National Natural Science Foundation of China, Beijing 100085, China.
Yu LiuInstitute of Remote Sensing and Geographic Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China.
Bin YangSchool of Data Science and Engineering, East China Normal University, Shanghai 200062, China.
Xuan SongDepartment of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Guoqiong LiaoSchool of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013, China.
Senzhang WangSchool of Computer Science and Engineering, Central South University, Changsha 410017, China.
Ziqiang YuSchool of Computer and Control Engineering, Yantai University, Yantai 264005, China.
Longbiao ChenDepartment of Computer Science, Xiamen University, Xiamen 361000, China.
Xiao PanCollege of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
Yuming LinDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial Data Intelligence (SDI) encompasses acquiring, storing, analyzing, mining, and visualizing spatial data to gain insights into the physical world and uncover valuable knowledge. These understandings and knowledge play a crucial role in connecting physical and virtual realms, such as in developing a City Metaverse (CM) aimed at enhancing and optimizing modern urban environments. The advancement of CM holds immense potential to benefit urban dwellers, making research on SDI an increasingly prominent area of focus. This paper contributes significantly by organizing the relevant research and technologies within a coherent framework. Firstly, we identify SDI technologies capable of collecting real-world information to construct a virtual CM. Subsequently, we delve into the technologies that can be compositely integrated with SDI to facilitate interaction with and management of actual cities from the virtual perspective. Additionally, we emphasize the effectiveness and potential of these methods in practical applications. Lastly, we conclude our survey by discussing emerging challenges associated with technological progress, the industrial chain, legal and regulatory aspects, and ethical and moral considerations.

Indexed as

Application prospectCity metaverseSmart citySpatial data intelligenceVirtual-real interaction

Identifiers

PMID40528987
PMCPMC12167910

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.