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.
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Myers, W.L., Patil, G.P. (2014). Higher Order Indicator with Rank-Related Clustering in Multi-indicator Systems. In: Brüggemann, R., Carlsen, L., Wittmann, J. (eds) Multi-indicator Systems and Modelling in Partial Order. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8223-9_16
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DOI: https://doi.org/10.1007/978-1-4614-8223-9_16
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