Journal cover Journal topic
Abstracts of the ICA
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Volume 1
Abstr. Int. Cartogr. Assoc., 1, 225, 2019
https://doi.org/10.5194/ica-abs-1-225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Abstr. Int. Cartogr. Assoc., 1, 225, 2019
https://doi.org/10.5194/ica-abs-1-225-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Jul 2019

15 Jul 2019

An Improved Algorithms of Stroke Generation Considering Multi-level Information Quantity

Yi Liu1,2, Wenjing Li1,2, and Zhiyong Lin3 Yi Liu et al.
  • 1School of Resource and Environmental Engineering, Wuhan University of Science and Technology, China
  • 2Industrial Safety Engineering Technology Research Center of Hubei Province, China
  • 3School of Remote Sensing and Information Engineering, Wuhan University, China

Keywords: Multi-level information quantity, Stroke, Angle threshold, Douglas–Peucker

Abstract. As a critical component of road network data, stroke has been widely used in analysis and application of road network. However, most conventional stroke generation strategies are based solely on a regular angle threshold, ignoring the structural characteristics of the road network. In fact, map information comes from the diversity and difference of elements and their distribution characteristics. Different road network structures should also correspond to different angle thresholds, rather than a fixed value. Therefore, quantitatively describing the structure characteristics of road network, has an important impact on the determination of the threshold in stroke generation strategies. In this paper, we propose an algorithm of stroke generation based on spatial feature information, which achieves the selection of the optimal threshold under different road network structures.

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