Fig. 1
From: Patterns of foraging activity and fidelity in a southeast Asian flying fox
Main data-processing steps performed in analyses: (i) acquisition of spatio-temporal data using GPS devices attached to bats, (ii) identification and attribution of behavioral states (CF: commuting flights between distant areas; FF: foraging flights within a given area to collect food; SB: stationary bouts within a foraging patch to consume food collected or for resting) for each location recorded using a hidden Markov model (HMM), (iii) collation of all consecutive foraging activities (FF and SB) in a unique behavior (ARS: area-restricted search) to identify and characterize foraging areas (FAs), notably by generating minimum convex polygons (grey polygons) for these, and (iv) determination of FAs revisited over time through identification of overlapping FAs belonging to different temporal sequences of behavior undertaken by each bat. In this example, the sequence of locations (and corresponding behaviors) begins at the highest point and ends at the lowest point. Further details are given in the Methods