Spatial proximity moderates genotype uncertainty in genetic tagging studies

Ben Augustine, J. Andrew Royle, Daniel W. Linden & Angela K. Fuller
Accelerating declines of an increasing number of animal populations worldwide necessitate methods to reliably and efficiently estimate demographic parameters such as population density and trajectory. Standard methods for estimating demographic parameters from noninvasive genetic samples are inefficient because lower quality samples cannot be used, and they do not allow for errors in individual identification. We introduce the Genotype Spatial Partial Identity Model (SPIM), which integrates a genetic classification model with a spatial population model to...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.