DocumentCode
1528406
Title
Using multivariate clustering to characterize ecoregion borders
Author
Hargrove, William W. ; Hoffman, Forrest M.
Author_Institution
Tennessee Univ., TN, USA
Volume
1
Issue
4
fYear
1999
Firstpage
18
Lastpage
25
Abstract
The authors present a geographic clustering technique which unambiguously locates, characterizes, and visualizes ecoregions and their borders. When coded with similarity colors, it can produce planar map views with sharpness contours that are visually rich in ecological information and represent integrated visualizations of complex and massive environmental data sets
Keywords
biology computing; cartography; data visualisation; ecology; pattern clustering; data visualization; ecological information; ecoregion borders; geographic clustering technique; integrated visualizations; massive environmental data sets; multivariate clustering; planar map views; sharpness contours; similarity colors; Biological system modeling; Birds; Clustering algorithms; Data visualization; Environmental management; Fractals; Iterative algorithms; Logic; Plants (biology); US Department of Agriculture;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/5992.774837
Filename
774837
Link To Document