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Lars Arge

Scalable Algorithms for Large High-Resolution Terrain Data

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Thomas Mølhave, Duke University, United States
  • Pankaj K. Agarwal, Duke University, United States
  • Lars Allan Arge
  • Morten Revsbæk, Denmark
  • Department of Computer Science
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.
Original languageEnglish
Title of host publicationProceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application. COM.Geo '10
EditorsLindi Liao
PublisherAssociation for Computing Machinery
Publication year2010
PagesArticle No.: 20
ISBN (print)978-1-4503-0031-5
DOIs
Publication statusPublished - 2010
EventInternational Conference and Exhibition on Computing for Geospatial Research & Application - Washington, D.C., United States
Duration: 21 Jun 201023 Jun 2010
Conference number: 1

Conference

ConferenceInternational Conference and Exhibition on Computing for Geospatial Research & Application
Nummer1
LandUnited States
ByWashington, D.C.
Periode21/06/201023/06/2010

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