Modeling Positional Uncertainty of Linear Features in Geographic Information Systems
This paper describes a probabilistic approach to model positional uncertainty of linear features in a vector-based geographic information system (GIS). Positional uncertainty is one of the components of uncertainty inherent in any object description in GIS. With a number of assumptions, the position...
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| Format: | Article |
| Language: | English |
| Published: |
An-Najah National University
1997-09-01
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| Series: | مجلة جامعة النجاح للأبحاث العلوم الطبيعية |
| Online Access: | https://journals.najah.edu/media/journals/full_texts/modeling-positional-uncertainty-linear-features-geographic-information-systems.pdf |
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| Summary: | This paper describes a probabilistic approach to model positional uncertainty of linear features in a vector-based geographic information system (GIS). Positional uncertainty is one of the components of uncertainty inherent in any object description in GIS. With a number of assumptions, the positional error of an arbitrary point on a line segment is derived based on the distribution of errors at the end points of the segment. This defines the probability density and the confidence region of a line segment and a set of indicators for the error of a line segment. The union of the confidence regions of the line segments establishes the confidence region of a linear feature. The derived uncertainty model is computationally feasible and has a great promise for efficient implementation in several GIS applications. |
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| ISSN: | 1727-2114 2311-8865 |