activity
20182023
most citedNavigating through the R packages for movement

143 citations · 192 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023★ 6 cited

Towards a responsible machine learning approach to identify forced labor in fisheries

Rocío Joo, Gavin McDonald, Nathan Miller +4

Many fishing vessels use forced labor, but identifying vessels that engage in this practice is challenging because few are regularly inspected. We developed a positive-unlabeled le…

stat.ME2023★ 1 cited

Four principles for improved statistical ecology

Gordana Popovic, Tanya J. Mason, Tiago A. Marques +16

Increasing attention has been drawn to the misuse of statistical methods over recent years, with particular concern about the prevalence of practices such as poor experimental desi…

stat.AP2020

Identifying partners at sea on contrasting fisheries around the world

Rocío Joo, Nicolas Bez, Marie-Pierre Etienne +4

Here we present an approach to identify partners at sea based on fishing track analysis, and describe this behaviour in six different fleets: 1) pelagic pair trawlers, 2) large bot…

q-bio.PE2020★ 14 cited

A decade of movement ecology

Rocío Joo, Simona Picardi, Matthew E. Boone +4

Movement is fundamental to life, shaping population dynamics, biodiversity patterns, and ecosystem structure. Recent advances in tracking technology have enabled fundamental questi…

q-bio.QM2019★ 143 cited

Navigating through the R packages for movement

Rocio Joo, Matthew E. Boone, Thomas A. Clay +3

The advent of miniaturized biologging devices has provided ecologists with unprecedented opportunities to record animal movement across scales, and led to the collection of ever-in…

q-bio.QM2018★ 28 cited

Metrics for describing dyadic movement: a review

Rocio Joo, Marie-Pierre Etienne, Nicolas Bez +1

In 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…