2D to 1D and 2D to 0D Geometry Generalization Based on the Straight Skeleton by the Dual-Half Edge Structure

A. Gholami, Pawel Boguslawski, M. Meijers, P. van Oosterom

Research output: Contribution to journalConference articleScientificpeer-review

14 Downloads (Pure)

Abstract

Efficient vario-scale representation is important in Geographic Information Systems (GIS) and cartographic generalization, particularly when transitioning 2D features into 1D or 0D representations. Traditional approaches often introduce topological inconsistencies and abrupt transitions between scales. This paper presents a novel method for vario-scale representation by integrating the Straight Skeleton Network (SSN), Dual Half-Edge (DHE) structure, and Space-Scale Cube (SSC). The straight skeleton enables hierarchical polygon decomposition, ensuring smooth feature transitions across scales. The DHE structure maintains topological consistency, supports dynamic updates, and allows structured connectivity between spatial features. The SSC framework organizes these transformations within a volumetric model, ensuring seamless scale transitions. The proposed approach is tested on various polygonal configurations, demonstrating its effectiveness in preserving spatial coherence, feature continuity, and structural integrity. This research contributes to multi-scale GIS modeling, automated map generalization, and spatial data structuring.
Original languageEnglish
Pages (from-to)513-519
Number of pages7
JournalThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume48
Issue numberG-2025
DOIs
Publication statusPublished - 2025
EventISPRS Geospatial Week 2025 "Photogrammetry & Remote Sensing for a Better Tomorrow" - Dubai, United Arab Emirates
Duration: 6 Apr 202511 Apr 2025

Keywords

  • mapping
  • straight skeleton
  • SSC
  • vario-scale representation
  • DHE

Fingerprint

Dive into the research topics of '2D to 1D and 2D to 0D Geometry Generalization Based on the Straight Skeleton by the Dual-Half Edge Structure'. Together they form a unique fingerprint.

Cite this