Traditional methods have limitations in handling large
Research gap analysis derived from 3 earth_science papers in our local library.
The gap
Traditional methods have limitations in handling large and complex data sources. The size and complexity of geospatial data have increased over time, presenting limitations in terms of processing speed and in-depth analyses.
Evidence profile
Sourced from the stated research gap of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- GeoAI: Applications, Challenges and Future Prospects in Geography (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
Traditional methods have limitations in handling large and complex data sources. The size and complexity of geospatial data have increased over time, presenting limitations in terms of processing speed and in-depth analyses.
generalstated research gapevidence 5/5Keywords: traditional methods have limitations handling large complex data - Key Technologies and Applications of Geoscience Big Data (2026) · International Journal of Advanced Engineering and Technology Research · doi
Conventional stand-alone data processing methods have gradually become insufficient in terms of storage capacity, computing efficiency, spatial query, and integrated analysis. There is a need for a technical framework for geoscience big data processing.
generalstated research gapevidence 5/5Keywords: conventional stand-alone data processing methods have gradually become - Theoretical foundations and methodological advancements in geospatial big data analytics and challenges (2026) · Discover Sustainability · doi
The traditional GIS is no longer sufficient for geospatial big data analytics. There is a need for advanced storage and analytical techniques for geospatial big data. The paper identifies the gap in the existing literature on geospatial big data analytics.
generalstated research gapevidence 5/5Keywords: traditional gis longer sufficient geospatial big data analytics
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