. "Appendix D Details of CEGIS-Funded Activities in Fiscal Year 2007 ." A Research Agenda for Geographic Information Science at the United States Geological Survey. Washington, DC: The National Academies Press, 2007.
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A Research Agenda for Geographic Information Science at the United States Geological Survey
St. Louis, Missouri
Publications and Reports
Implementation of The National Map Road Database—from the American Congress on Surveying & Mapping (ACSM) Annual Conference, Nashville, Tennessee, April 2004
Integration of The National Map: Data Layers and Features—from the American Society for Photogrammetry and Remote Sensing (ASPRS) Annual Conference, Denver, Colorado, May 2004
Integration of The National Map—from the XXth Congress of the International Society of Photogrammetry and Remote Sensing, Istanbul, Turkey, July 2004
Integrating Data Layers to Support The National Map of the United States—from the International Cartographic Conference, Coruña, Spain, July 2005
Generalization forThe National Map
To meet the goals of The National Map the USGS must accept high-resolution data from local, state, and other sources and merge these data into a consistent framework at an appropriate resolution. To the extent possible, this process should be automated, transparent to users, and occur in real time as part of The National Map viewer or the data delivery system. Part of this process will require spatial data generalization.
Publications and Reports
Generalization for The National Map with emphasis on the NHD—Abstract from the 25th Environmental Systems Research Institute (ESRI) International User Conference, July 25-29, 2005
Estimation of Accumulated Upstream Drainage Values in Braided Streams Using Augmented Directed Graphs—Paper from the Auto-Carto 2006, A Cartography and Geographic Information Society Research Symposium, Vancouver, Washington. June 25-28, 2006
Multiresolution Raster Data forThe National Map
As science moves toward regional and global analyses with models of climate and human-induced change, methods are needed to project raster data accurately. The approach for this research theme is to use the theoretical and empirical base of knowledge to (1) design a new projection method accounting for raster cell size and latitude effects on accuracy, (2) systematically analyze the error effects and develop error correction procedures, and (3) develop raster