Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data
D. W. Redding, T. Lucas, T. Blackburn, K. E. Jones
This paper evaluates Bayesian spatial methods for species distribution modeling, finding that spatially-explicit INLA outperforms non-spatial methods in handling clumped and restricted occurrence data.
PLOS ONE · Nov 30, 2017Peer-reviewedEcology