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Can I read A spatially constrained clustering program for river valley segment delineation from GIS digital river networks on EtoBox?
A spatially constrained clustering program for river valley segment delineation from GIS digital river networks by T.O. Brenden; L. Wang; P.W. Seelbach; R.D. Clark Jr.; M.J. Wiley; B.L. Sparks-Jackson is a Environmental Science article available to read on EtoBox.
What is A spatially constrained clustering program for river valley segment delineation from GIS digital river networks about?
River valley segments are adjacent sections of streams and rivers that are relatively homogeneous in hydrology, limnology, channel morphology, riparian dynamics, and biological communities. River valley segments have been advocated as appropriate spatial units for assessing, monitoring, and managing rivers and streams for several reasons; however, methods for delineating these spatial units have been tedious to implement or have lacked objectivity, which arguably has limited their use as river and stream management units by natural resource agencies. We describe a spatially constrained clustering program that we developed for delineating river valley segments from geographic information system digital river network databases that is flexible, easy-to-use, and improves objectivity in the river valley segment delineation process. This program, which we refer to as the valley segment affinity search technique (VAST), includes a variety of options for determining spatial adjacency in stream reaches, as well as several data transformation methods, types of resemblance coefficients, and cluster linkage methods. The usefulness of VAST is demonstrated by using it to delineate river valley
Who reads A spatially constrained clustering program for river valley segment delineation from GIS digital river networks?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- T.O. Brenden; L. Wang; P.W. Seelbach; R.D. Clark Jr.; M.J. Wiley; B.L. Sparks-Jackson
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 1364-8152)
- Published
- 2008
- Language
- EN
- Field
- Environmental Science (Physical Sciences)