C
Chui Kwan Cheung
Researcher at Hong Kong Polytechnic University
Publications - 6
Citations - 221
Chui Kwan Cheung is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Sensitivity analysis & Propagation of uncertainty. The author has an hindex of 6, co-authored 6 publications receiving 215 citations.
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Journal ArticleDOI
Performance Evaluation of Line Simplification Algorithms for Vector Generalization
Wenzhong Shi,Chui Kwan Cheung +1 more
TL;DR: This paper evaluates performance of the line simplification algorithms using two comprehensive measures of positional accuracy of the simplified line: one displacement measure and one shape distortion measure, both of which are able to consider the displacement between the original line and its simplified version.
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Modelling error propagation in vector-based buffer analysis
TL;DR: Error propagation of buffer analysis in a vector-based geographical information system (GIS) is studied with the use of statistics and numerical analyses and such factors as the error of commission, theerror of omission, the discrepant area and the normalized discrepants area are proposed as error indicators.
Journal ArticleDOI
Estimation of the Positional Uncertainty in Line Simplification in GIS
Chui Kwan Cheung,Wenzhong Shi +1 more
TL;DR: In this article, a new model for handling positional uncertainty in the process of line simplification is presented, where the maximum distance is defined as a measure to describe the uncertainty in a simplified line.
Journal ArticleDOI
A Probability-based Uncertainty Model for Point-in-Polygon Analysis in GIS
TL;DR: The proposed probability index can provide an objective description of the relationship of closeness between an uncertain point and an uncertain polygon.
Journal ArticleDOI
Positional error modeling for line simplification based on automatic shape similarity analysis in GIS
Chui Kwan Cheung,Wenzhong Shi +1 more
TL;DR: The analytical model presented is able to objectively and automatically determine the applicability of the generalized data for further applications to geographical information system (GIS) problems and provides a more comprehensive shape measure for assessing positional error in data derived from the generalization.