Continuous and Adaptive Cartographic Generalization of River Networks
| dc.contributor.advisor | Weaver, Chris | |
| dc.creator | Gutman, Moshe | |
| dc.date.accessioned | 2019-06-03T20:36:16Z | |
| dc.date.available | 2019-06-03T20:36:16Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The focus of our research is on a new automated smoothing method and its applications. Traditionally, the application of a smoothing method to a collection of polylines produces a new smoothed dataset. Although the new dataset was derived from the original dataset, it is stored independently. Since many smoothing methods are slow to execute, this is a valid trade-off. However, this greatly increases the data storage requirements for each new smoothing. A consequence of this approach is that interactive map systems can only offer maps at a discrete set of scales. It is desirable to have a fast enough method that would support the reuse of a single base dataset for on-the-fly smoothing for the production of maps at any scale. | |
| dc.description.abstract | We were able to create a framework for the automated smoothing of river networks based on the following major contributions: | |
| dc.description.abstract | – A wavelet--based method for polyline smoothing and endpoint preservation | |
| dc.description.abstract | – Inverse Mirror Periodic (IMP) representation of functions and signals, and dimensional wavelets | |
| dc.description.abstract | – Smoothing of features that does not change abruptly between scales | |
| dc.description.abstract | – Features are pruned in a continuous manner with respect to scale | |
| dc.description.abstract | – River network connectedness is maintained for all scales | |
| dc.description.abstract | – Reuse of a base geographic dataset for all scales | |
| dc.description.abstract | – Design and implementation of an interactive map viewer for linear hydrographic features that renders in subsecond time | |
| dc.description.abstract | We have created an interactive map that can smoothly zoom to any region. Numerical experiments show that our wavelet-based method produces cartographically appropriate smoothing for tributaries. The system is implemented to view hydrographic data, such as the USGS National Hydrography Dataset (NHD). The map demonstrates that a wavelet--based approach is well suited for basic generalization operations. It provides smoothing and pruning that is continuously dependent on map scale. | |
| dc.format.extent | 170 pages | |
| dc.format.medium | application.pdf | |
| dc.identifier | 99242442902042 | |
| dc.identifier.uri | https://hdl.handle.net/11244/320241 | |
| dc.language | en_US | |
| dc.relation.requires | Adobe Acrobat Reader | |
| dc.subject | Digital mapping | |
| dc.subject | Cartography | |
| dc.subject | Rivers | |
| dc.subject | Geographic information systems | |
| dc.thesis.degree | Ph.D. | |
| dc.title | Continuous and Adaptive Cartographic Generalization of River Networks | |
| dc.type | text | |
| dc.type | document | |
| dc.type | movingimage | |
| ou.group | College of Engineering::School of Computer Science |