A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modeling and simulating positional uncertainties in linear features in GIS
Abstract A simulation approach consisting of error modeling and simulation processes is introduced to deal with the quality of line data as well as their derived products such as line length. In the error modelling, uncertainty properties of a line, estimated on the basis of a reference line, are characterized in terms of variations in line segment lengths and in vertex offsets. In the simulation, a set of realizations of the line, each having different segment lengths and vertex offsets, is then generated by introducing the estimated properties of positional uncertainty into the reference line. For evaluation and verification purposes, the proposed approach is demonstrated with a series of test lines selected with consideration for the curvilinearity of roadway centerline maps. The results indicate that uncertainties in estimated lengths are closely related to the alignment accuracy and polyline resolution as well as the correlated nature of positional errors.
Modeling and simulating positional uncertainties in linear features in GIS
Abstract A simulation approach consisting of error modeling and simulation processes is introduced to deal with the quality of line data as well as their derived products such as line length. In the error modelling, uncertainty properties of a line, estimated on the basis of a reference line, are characterized in terms of variations in line segment lengths and in vertex offsets. In the simulation, a set of realizations of the line, each having different segment lengths and vertex offsets, is then generated by introducing the estimated properties of positional uncertainty into the reference line. For evaluation and verification purposes, the proposed approach is demonstrated with a series of test lines selected with consideration for the curvilinearity of roadway centerline maps. The results indicate that uncertainties in estimated lengths are closely related to the alignment accuracy and polyline resolution as well as the correlated nature of positional errors.
Modeling and simulating positional uncertainties in linear features in GIS
Hong, Sungchul (author)
KSCE Journal of Civil Engineering ; 21 ; 2850-2858
2017-02-17
9 pages
Article (Journal)
Electronic Resource
English
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