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Abstract
Developing simplified representations of a two-dimensional polyline is an important problem in cartographic data analytics where datasets must be integrated across spatial resolutions. This problem is generally referred to as line simplification, and is increasingly driven by preservation of specific analytic properties such as positional accuracy and high-frequency detail. However, the distinction between linear features and polygon boundaries is rarely considered. Polygonal features differ fundamentally from linear features in that they represent areal regions covering a portion of the earth's surface. As such, they lend themselves naturally to the objective of preserving area across scale.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Area-preserving simplification of polygon features |
| Year Published | 2018 |
| Language | English |
| Publisher | Cartography and Geographic Information Society and the University Consortium for Geographic Information Science |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 2 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Conference Proceedings, AutoCarto/UCGIS 2018 |
| Conference Title | The 22nd International Research Symposium on Computer-based Cartography and GIScience |
| Conference Location | Madison, WI |
| Conference Date | May 22-24, 2018 |
| Google Analytic Metrics | Metrics page |