Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data

Summary Spatial patterns of community composition turnover (beta diversity) may be mapped through generalised dissimilarity modelling ( GDM ). While remote sensing data are adequate to describe these patterns, the often high‐dimensional nature of these data poses some analytical challenges, potentially resulting in loss of generality. This may hinder the use of such data for mapping and monitoring beta‐diversity patterns. This study presents...