Fig. 1From: Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowlExtent of 224,016 GPS locations obtained from 131 individual ducks of 5 species and representing 9334 bird-days. Daily sets of hourly location data used to train and validate machine learned classification models for dabbling duck life history states and movement patternsBack to article page