@article{fdi:010074856,
  title = {{M}etrics for describing dyadic movement : a review},
  author = {{J}oo, {R}. and {E}tienne, {M}. {P}. and {B}ez, {N}icolas and {M}ahevas, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n movement ecology, the few works that have taken collective behaviour into account are data-driven and rely on simplistic theoretical assumptions, relying in metrics that may or may not be measuring what is intended. {I}n the present paper, we focus on pairwise joint-movement behaviour, where individuals move together during at least a segment of their path. {W}e investigate the adequacy of twelve metrics introduced in previous works for assessing joint movement by analysing their theoretical properties and confronting them with contrasting case scenarios. {T}wo criteria are taken into account for review of those metrics: 1) practical use, and 2) dependence on parameters and underlying assumptions. {W}hen analysing the similarities between the metrics as defined, we show how some of them can be expressed using general mathematical forms. {I}n addition, we evaluate the ability of each metric to assess specific aspects of joint-movement behaviour: proximity (closeness in space-time) and coordination (synchrony) in direction and speed. {W}e found that some metrics are better suited to assess proximity and others are more sensitive to coordination. {T}o help readers choose metrics, we elaborate a graphical representation of the metrics in the coordination and proximity space based on our results, and give a few examples of proximity and coordination focus in different movement studies.},
  keywords = {{C}ollective behaviour ; {D}yadic movement ; {I}ndices ; {M}ovement ecology ; {S}patio-temporal dynamics ; {T}rajectories},
  booktitle = {},
  journal = {{M}ovement {E}cology},
  volume = {6},
  numero = {},
  pages = {art. 26 [17 ]},
  ISSN = {2051-3933},
  year = {2018},
  DOI = {10.1186/s40462-018-0144-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074856},
}