Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution
By: Andrew J. Stauffer, Seth Webinger, and Brittany Roche
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Abstract
The US Geological Survey’s (USGS) National Geospatial Technical Operations Center is prototyping and evaluating the ability to filter data through a range of scales using 1:24,000-scale The National Map (TNM) datasets as the source. A “VisibilityFilter” attribute is under evaluation that can be added to all TNM vector data themes and will permit filtering of data to eight target scales between 1:24,000 and 1:5,000,000, thus defining each feature’s smallest applicable scale-of-use. For a prototype implementation, map specifications for 1:100,000- and 1:250,000-scale USGS Topographic Map Series are being utilized to define feature content appropriate at fixed mapping scales to guide generalization decisions that are documented in a ScaleMaster diagram. This paper defines the VisibilityFilter attribute, the generalization decisions made for each TNM data theme, and how these decisions are embedded into the data to support efficient data filtering.
Suggested Citation
Stauffer, A.J., Webinger, S., Roche, B., 2016, Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution, in Proceedings, AutoCarto2016, Albuquerque, New Mexico, September 14-16, 2016, p. 188-199.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Enriching the national map database for multi-scale use: Introducing the visibilityfilter attribution |
| Year Published | 2016 |
| Language | English |
| Publisher | Cartography and Geographic Information Center |
| Contributing office(s) | NGTOC Denver |
| Description | 12 p. |
| Larger Work Type | Conference Paper |
| Larger Work Title | Proceedings, AutoCarto2016 |
| First page | 188 |
| Last page | 199 |
| Conference Title | 19th International Research Symposium on Computer-based Cartography |
| Conference Location | Albuquerque, New Mexico |
| Conference Date | September 14-16, 2016 |