A clustering technique for land management models

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Abstract
Cluster analysis was used to aggregate land units into efficient data sets for land management models. The descriptive variables of the land units were chosen for their importance in the structure of the model. The land units were grouped such that the error of aggregation was minimized. Data sets were prestratified for a specific management purpose and aggregated by a procedure of cluster formation and allocation.

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