A new approach to simulate positional error of line segment in GIS |
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| Authors: | Zhang Lei Deng Min Chen Xiaoyong |
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| Institution: | ZHANG Lei DENG Min CHEN Xiaoyong |
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| Abstract: | To determine the distribution of positional error of a line segment, Monte Carlo approach is applied to simulate the probability density function of a line segment with the assumption that the error of endpoints in a line segment follows a two-dimensional normal distribution. For such purpose, a stochastic generator used for uncertain endpoints with the two-dimensional normal distribution is presented. This forms the basis of the generation of random line segment for the simulation of the error model of a whole line segment. The error models cover the cases where two endpoints are either independent or dependent to each other, also including a special case that the distance between two random endpoints in a line segment is close enough. |
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| Keywords: | positional error Monte Carlo simulation line segment stochastic point generator |
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