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Shape-Aware Line Generalisation With Weighted Effective Area · Study

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ChapterShape-Aware Line Generalisation With Weighted Effective Area

Zhou Sheng2006

Chapter2006

Shape-Aware Line Generalisation With Weighted Effective Area

Zhou Sheng · Christopher B. Jones

25 citations·0/0 files stored·Springer eBooks

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Geographic Information Systems Studies Computational Geometry and Mesh Generation Data Management and Algorithms

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References

1993Line generalisation by repeated elimination of points 1995Simplification and Generalization of Large Scale Data for Roads: A Comparison of Two Filtering Algorithms

Cited by

2019Simplification of polylines by segment collapse: minimizing areal displacement while preserving area 2016The Visvalingam Algorithm: Metrics, Measures and Heuristics 2016Implications of Weighting Metrics for Line Generalization with Visvalingam's Algorithm 2012Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries 2020PolySimp: A Tool for Polygon Simplification Based on the Underlying Scaling Hierarchy 2007A generic approach to simplification of geodata for mobile applications 2018Cartographic Line Generalization Based on Radius of Curvature Analysis

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2007Generalization-oriented Road Line Classification by Means of an Artificial Neural Networkarticle · 2 shared references 2011Hybrid line simplification for cartographic generalizationarticle · 2 shared references 2009Sinuosity pattern recognition of road features for segmentation purposes in cartographic generalizationarticle · 2 shared references 2011The improved Douglas-Peucker algorithm based on the contour characterother · 2 shared references 2016Implications of Weighting Metrics for Line Generalization with Visvalingam's Algorithmarticle · 2 shared references 2016The Visvalingam Algorithm: Metrics, Measures and Heuristicsarticle · 2 shared references

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Year2006

Typechapter

Published2006-02-27

VenueSpringer eBooks

Languageen

Citations25

Files0 public / 0

ShelfGeographic Information Systems Studies

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doi10.1007/3-540-26772-7_28

openalex_workW1894078149

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