Scalable algorithms for large high-resolution terrain data

  • Authors:
  • Thomas Mølhave;Pankaj K. Agarwal;Lars Arge;Morten Revsbæk

  • Affiliations:
  • Duke University;Duke University;MADALGO, Aarhus University;MADALGO, Aarhus University

  • Venue:
  • Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
  • Year:
  • 2010

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Abstract

In this paper we demonstrate that the technology required to perform typical GIS computations on very large high-resolution terrain models has matured enough to be ready for use by practitioners. We also demonstrate the impact that high-resolution data has on common problems. To our knowledge, some of the computations we present have never before been carried out by standard desktop computers on data sets of comparable size.