Bias correction in species distribution models: pooling survey and collection data for multiple species
Bias correction in species distribution models: pooling survey and collection data for multiple species
Presence-only records may provide data on the distributions of rare species, but commonly suffer from large, unknown biases due to their typically haphazard collection schemes. Presence-absence or count data collected in systematic, planned surveys are more reliable but typically less abundant.We proposed a probabilistic model to allow for joint analysis …