Seattle / Springer / New York / Washington / Wiley / /
Company
Geographic Information Systems / Cambridge University Press / ACM Journal / /
Country
United States / Denmark / /
Currency
USD / DEM / / /
Event
Natural Disaster / /
Facility
We store / Duke University / University of Aarhus Aarhus / Carolina State University / Lars Arge Helena Mitasova University of Aarhus Aarhus / /
IndustryTerm
terrain processing applications / disaster management / flow accumulation algorithm / hydrological conditioning algorithm / river networks / construction algorithm / 20ft grid interpolation algorithm / well connected hydrological network / grid construction algorithm / terrain algorithms / it easier to maintain software / kinematic routing algorithm / large systems / by-products / drainage networks / improved algorithm / river network / External-memory graph algorithms / External memory algorithms / hydrological networks / important applications / flow modeling algorithms / flow algorithms / flat area detecting algorithm / simpler algorithms / 10ft grid interpolation algorithm / partial flooding algorithm / software pipeline / simpler algorithm / /
MusicAlbum
I/O / /
NaturalFeature
Neuse river / Black river / /
OperatingSystem
Linux / /
Organization
Danish National Research Foundation / Cambridge University / Danish Strategic Research Council / National Science Foundation / University of Aarhus Aarhus / Israel Binational Science Foundation / Center for Massive Data Algorithmics / Duke University / Department of Computer Science / Oticon Foundation / State University Raleigh / Danish National Science Research Council / Swarthmore College / /
Person
Herman Haverkort / Pankaj K. Agarwal / Jan Vahrenhold / Henrik Blunck / Andrew Danner Thomas Mølhave Ke / /
Position
representative / /
ProgrammingLanguage
C++ / /
ProvinceOrState
New York / Manitoba / North Carolina / /
PublishedMedium
Geometry and Topology / Communications of the ACM / /
T ERRA S TREAM: From Elevation Data to Watershed Hierarchies∗ Andrew Danner Thomas Mølhave