The aim of the presented paper is to find a relation between the quality of input data and the reliability of the geospatial analysis result. The authors ...
The aim of the presented paper is to find a relation between the quality of input data and the reliability of the geospatial analysis result. The authors ...
The aim of the presented paper is to find a relation between the quality of input data and the reliability of the geospatial analysis result. The authors ...
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Jan 1, 2013 · The aim of the presented paper is to find a relation between the quality of input data and the reliability of the geospatial analysis result.
Type I uncertainty deals with our inability to measure or predict a characteristic or event with uncertainty, where the characteristic or event is inherently ...
Although the concepts of uncertainty in spatial data and spatial data quality are similar, the standards have evolved only for the latter. The quality of data ...
Jun 9, 2023 · Uncertainty in geospatial data can originate from various sources. Measurement errors during data collection, such as inaccuracies in GPS ...
Apr 25, 2022 · How reliable are the data; what problems remain in the data set? 6. How can someone get a copy of the data set? 7. Who wrote the metadata?
Missing: Potential | Show results with:Potential
Quantifying the contribution of individual uncertainty sources serves as a basis for reducing prediction uncertainty and improving the quality of model ...
Maintaining data accuracy and eliminating the errors are the essential prerequisites for providing information about the spatial data quality. Error is inherent ...