Efficient management of ubiquitous location information using geospatial grid region name

• Introduced geospatial grid region name (GGRN) for managing ubiquitous location information (ULI). • Proposed a ULI management method based on GGRN (UMMG). • UMMG improves location cognition between humans and machines. • Applied UMMG to mainstream databases, showing enhanced retrieval efficiency. • UMMG reduces spatial database indexing complexity. With the increasing popularity of sensors and the rapid advancement of network infrastructure and communication technology, managing, retrieving, and applying ubiquitous location information (ULI) poses a significant challenge. This study introduces the concept of the geospatial grid region name (GGRN) and proposes a ULI management method based on the GGRN (UMMG). To evaluate the feasibility and retrieval efficiency of the UMMG, it was applied to mainstream databases and compared with their spatial expansion modules. The experimental results demonstrate that the UMMG effectively addresses the challenge of precise location cognition between humans and machines while also reducing the complexity of spatial database indexing, with an overall performance improvement of 43.00 % compared to Oracle Spatial and 33.30 % compared to PostgreSQL + PostGIS.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2025-02-18
DOI
https://doi.org/10.1016/j.jag.2025.104400
Citations
1
Primary Topic
Data Management and Algorithms
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient management of ubiquitous location information using geospatial grid region name

Min Huang, Chengqi Cheng, Qifeng Lin, Daoye Zhu et al.
1 citations
International Journal of Applied Earth Observation and Geoinformation
Data Management and Algorithms
1.49
article

Efficient management of ubiquitous location information using geospatial grid region name

Min Huang, Chengqi Cheng, Qifeng Lin, Daoye Zhu, Yanyu Wang, Shuang Li
article en
1 citations

Abstract

• Introduced geospatial grid region name (GGRN) for managing ubiquitous location information (ULI). • Proposed a ULI management method based on GGRN (UMMG). • UMMG improves location cognition between humans and machines. • Applied UMMG to mainstream databases, showing enhanced retrieval efficiency. • UMMG reduces spatial database indexing complexity. With the increasing popularity of sensors and the rapid advancement of network infrastructure and communication technology, managing, retrieving, and applying ubiquitous location information (ULI) poses a significant challenge. This study introduces the concept of the geospatial grid region name (GGRN) and proposes a ULI management method based on the GGRN (UMMG). To evaluate the feasibility and retrieval efficiency of the UMMG, it was applied to mainstream databases and compared with their spatial expansion modules. The experimental results demonstrate that the UMMG effectively addresses the challenge of precise location cognition between humans and machines while also reducing the complexity of spatial database indexing, with an overall performance improvement of 43.00 % compared to Oracle Spatial and 33.30 % compared to PostgreSQL + PostGIS.

International Journal of Applied Earth Observation and GeoinformationVol. 137
Peking University (CN), Fudan University (CN), Wuhan University (CN), 3v Geomatics (Canada) (CA), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Jiangxi Normal University (CN), Zhejiang University (CN), Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province
Openalex Percentile: Top 23%
Data Management and Algorithms
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.