Corpus ID: 15545525

Multivariate Geographic Cluster Using a Beowulf-style Parallel Computer

@inproceedings{Hoffman1999MultivariateGC,
  title={Multivariate Geographic Cluster Using a Beowulf-style Parallel Computer},
  author={Forrest M. Hoffman and William W. Hargrove},
  booktitle={PDPTA},
  year={1999}
}
The authors present an application of multivariate non-hierarchical statistical clustering to geographic environmental data from the 48 conterminous United States in order to produce maps of regions of ecological similarity called ecoregions. Nine input variables thought to aflect the growth of vegetation are clustered at a resolution of one square kilometer. These data represent over 7.8 million map cells in a g-dimensional data space. For the analysis, the authors built a 126-node… Expand
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