A diversity of movement patterns may be identified whenstudying a set of moving entities. One of these patterns iscalled V-formation since its shape resembles such letter.Informally, a set of entities shows a V-formation if theyare located in one of its two characteristic lines. In thispaper, we propose a model for identifying V-formationswith outliers in a list of moving entities. An outlier is anentity of the formation that is apart from its characteristiclines. We present the formal rules of our model and analgorithm for detecting outliers. Our model was validatedin NetLogo, a programming and modeling environmentfor simulating natural and social phenomena.
Objeto móvil, patrón de movimiento, formación en V, valores atípicamente separados, Valor atípicoMoving objects, movement patterns, V-formation, outliers., V training, atypically, separated values
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