Luis Mauricio Bini

TL;DR: SAM (Spatial Analysis in Macroecology) as discussed by the authors ) is a freeware application that offers a comprehensive array of spatial statistical methods, focused primarily on surface pattern spatial analysis.

TL;DR: In this article, the authors analyzed the species richness of the birds of western/central Europe, north Africa and the Middle East using Moran's I coefficients and multiple regression, using both ordinary least-squares (OLS) and generalized least squares (GLS) assuming a spatial structure in the residuals, to identify the strongest predictors of richness.

TL;DR: In this article, the authors highlight the effects of floods as a process that reduce spatial variability in tropical floodplains and highlight that during low water levels, habitats in river-floodplain systems are isolated from each other and from the main river.

TL;DR: A better understanding of the relative roles of species sorting, mass effects and dispersal limitation in affecting aquatic metacommunities requires the following: characterising dispersal rates more directly or adopting better proxies than have been used previously; considering the nature of aquatic networks; and combining correlative and experimental approaches.

TL;DR: Sam as discussed by the authors is a freeware package for spatial analysis in macroecology and biogeography, which allows the user to describe spatial patterns in variables and provides an explicit spatial framework for standard techniques of regression and correlation.