Modeling Positional Uncertainty of Linear Features in Geographic Information Systems

dc.contributor.author	Fayez Shahin
dc.date.accessioned	2016-09-07T10:16:43Z
dc.date.available	2016-09-07T10:16:43Z
dc.date.issued	1997
dc.description.abstract	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.	en
dc.identifier	1727-2114
dc.identifier.uri	http://hdl.handle.net/20.500.11888/1894
dc.title	Modeling Positional Uncertainty of Linear Features in Geographic Information Systems	en
dc.title	نمذجة الشك في موقع المعالم الخطية في نظم المعلومات الجغرافية	ar

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