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Abstract
The National Hydrography Dataset (NHD) for the United States furnishes a comprehensive set of vector features representing the surface-waters in the country (U.S. Geological Survey 2000). The high-resolution (HR) layer of the NHD is largely comprised of hydrographic features originally derived from 1:24,000-scale (24K) U.S. Topographic maps. However, in recent years (2009 to present) densified hydrographic feature content, from sources as large as 1:2,400, have been incorporated into some watersheds of the HR NHD within the conterminous United States to better support the needs of various local and state organizations. As such, the HR NHD is a multiresolution dataset with obvious data density variations because of scale changes. In addition, data density variations exist within the HR NHD that are particularly evident in the surface-water flow network (NHD flowlines) because of natural variations of local geographic conditions; and also because of unintentional compilation inconsistencies due to variations in data collection standards and climate conditions over the many years of 24K hydrographic data collection (US Geological Survey 1955).
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | High performance computing to support multiscale representation of hydrography for the conterminous United States |
| Year Published | 2016 |
| Language | English |
| Publisher | International Cartographic Association Commission on Generlisation and Multiple Representation |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 10 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | 19th ICA Workshop, Automated Generalisation for On-Demand Mapping |
| Google Analytic Metrics | Metrics page |