Appendix 1—figure 5. | Habitat and social factors shape individual decisions and emergent group structure during baboon collective movement

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Habitat and social factors shape individual decisions and emergent group structure during baboon collective movement

Appendix 1—figure 5.

Affiliation details

Princeton University, United States; Max Planck Institute for Ornithology, Germany; University of Konstanz, Germany; University of Oxford, United Kingdom; University of California, Davis, United States; Smithsonian Tropical Research Institute, Panama
Appendix 1—figure 5.
Download figureOpen in new tabAppendix 1—figure 5. Analysis pipeline for determining which features are most important in predicting individual baboons’ decisions, using a step selection analysis and multi-model inference.

To model a given baboon, its trajectory is first broken up into a series of steps using spatial discretization (A). Black line shows the full trajectory, and red lines show the spatially discretized steps. Square encloses one step. (B) For each step, the real location chosen by the baboon (red) is then compared to a set of alternative options (black), with these options drawn from that individual’s empirical step length / turning angle distribution (C). Features (such as whether the location is on a road, the vegetation density, how many baboons are within a certain range, etc.) are then extracted from each potential location, across all steps (D). A conditional logistic regression model predicting the probability that the baboon chose each alternative option based on the features of all options (E) is then fit using maximum likelihood. (F) Models containing all possible combinations of features are fit in this way, and their AIC scores computed. The relative importance of each feature in the models is then determined by computing the AIC weight of each feature across all models. Features that are present in many of the best models receive the largest weights.

DOI: http://dx.doi.org/10.7554/eLife.19505.015