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Using multivariate clustering to characterize ecoregion borders

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2 Author(s)
W. W. Hargrove ; Tennessee Univ., TN, USA ; F. M. Hoffman

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

Published in:

Computing in Science & Engineering  (Volume:1 ,  Issue: 4 )