Higher Order Indicator with Rank-Related Clustering in Multi-indicator Systems

Wayne L. Myers () and Ganapati P. Patil ()
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Wayne L. Myers: The Pennsylvania State University, Penn State Institutes of Energy and Environment
Ganapati P. Patil: The Pennsylvania State University, Center for Statistical Ecology and Environmental Statistics, Department of Statistics

Chapter Chapter 16 in Multi-indicator Systems and Modelling in Partial Order, 2014, pp 331-341 from Springer

Abstract: Abstract We extend exploration and application of a compound ranking regime for multi-indicator systems based on partial order theory that coordinates principal down-set, up-set, and comparability. We use this “balance of normalized definitive status (BONDS)” ranking in conjunction with augmented hierarchical clustering for comparing clusters as graded groups to obtain information relevant to number of clusters, group-wise ordering, and interaction of indicators. A case study is conducted with localities as instances (objects) and percentages for kinds of land cover as indicators. Hierarchical clustering is accomplished with the hclust facility of R software in conjunction with customized computational support in R.

Keywords: Land Cover; Geographic Information System; Hierarchical Cluster; Data Frame; Hasse Diagram (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-8223-9_16

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DOI: 10.1007/978-1-4614-8223-9_16

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