Abstract

Diverse movement patterns may be identified when we study a set of moving entities. One of these patterns is known as a V-formation for it is shaped like the letter V. Informally, a set of entities shows a V-formation if the entities are located on one of their two characteristic lines. These lines meet in a position where there is just one entity considered the leader of the formation. Another movement pattern is known as a circular formation for it is shaped like a circle. Informally, circular formations present a set of entities grouped around a center in which the distance from these entities to the center is less than a given threshold. In this paper we present a model to identify V-formations and circular formations with outliers. An outlier is an entity which is part of a formation but is away from it. We also present a model to identify doughnut formations, which are an extension of circular formations. We present formal rules for our models and an algorithm for detecting outliers. The model was validated with NetLogo, a programming and modeling environment for the simulation of natural and social phenomena.

Highlights

  • Diverse movement patterns may be identified when we study a set of moving entities, for example, a flock of birds [1] and a school of fish [2]

  • We present doughnut formations, which are an extension of circular formations

  • For experiments with circular and doughnut formations, we worked in NetLogo and used Wilensky’s model [26], which generates randomized formations of entities in NetLogo

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Summary

Introduction

Diverse movement patterns may be identified when we study a set of moving entities, for example, a flock of birds [1] and a school of fish [2]. One of these patterns is known as a V-formation for it is shaped like the letter V; see Figure 1. A set of entities shows a V-formation if the entities are located on one of their two characteristic lines. The lines meet in a position where there is just one entity considered the leader of the formation [3]. In [4, 5], there is an attempt to explain from a physical point of view the reasons why certain species of birds, such as Canadian geese (Branta canadensis), red knots (Calidris canutus), and plovers (Calidris alpina), tend to fly this way

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