Using extrusion to generate higher-dimensional GIS datasets

  • Authors:
  • Ken Arroyo Ohori;Hugo Ledoux

  • Affiliations:
  • Delft University of Technology, The Netherlands;Delft University of Technology, The Netherlands

  • Venue:
  • Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2013

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Abstract

While there is a growing interest in the use of higher-dimensional (≥4D) digital objects built from complex real-world data, their construction is in practice hampered by a lack of methods and algorithms. We present in this paper a dimension-independent extrusion algorithm for linear geometries using generalised maps. It permits us to create an (n + 1)-dimensional model from an n-dimensional one by assigning it a range along the (n + 1)-th dimension. We present our algorithm, which both optimal and straightforward to implement, using generalised maps as a base, and report on experiments in which 2D real-world GIS datasets were extruded to 3D and 4D.