Spatial Data Quality in GIS Data: A Review

Understanding spatial data quality is important in Geographic Information Science (GIS) applications. Spatial data are used in a variety of critical areas, including urban planning, environmental management, emergency response, and natural resource management where the accuracy and precision of spat...

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Veröffentlicht in:	International Conference on Parallel, Distributed and Grid Computing (PDGC ...) S. 737 - 742
Hauptverfasser:	Gupta, Punit, McArdle, Gavin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.12.2024
Schlagworte:	Accuracy Benchmark testing Classification cloud classification Completeness Data integrity Data Quality Geographic information systems Precision Reviews Spatial databases Time series analysis Urban planning Vectors
ISSN:	2573-3079
Online-Zugang:	Volltext
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