Spatial autocorrelation

Spatially Autocorrelated Training and Validation Samples Inflate Performance Assessment of Convolutional Neural Networks

Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive …

Effects of Species and Habitat Positional Errors on the Performance and Interpretation of Species Distribution Models

Aim: A key assumption in species distribution modelling is that both species and environmental data layers contain no positional errors yet this will rarely be true. This study assesses the effect of introduced positional errors on the performance …