SAM: a comprehensive application for Spatial Analysis in Macroecology

SAM: a comprehensive application for Spatial Analysis in Macroecology

Accepted 15 December 2009 | Thiago F. Rangel, Jose Alexandre F. Diniz-Filho and Luis Mauricio Bini
SAM (Spatial Analysis in Macroecology) is a freeware application designed for spatial statistical analysis, particularly focused on surface pattern analysis. It is a compact and powerful stand-alone software with a user-friendly, menu-driven graphical interface. SAM offers a comprehensive array of methods commonly used in macroecology and geographical ecology, ranging from simple exploratory graphical analysis tools to advanced spatial regression models. Since its first release in August 2005, SAM has been downloaded over 9,300 times by researchers from more than 60 countries. The software has been cited in 165 studies, with 83% reporting direct use for spatial statistical analysis. Key features include Moran’s I correlogram, Dutilleul’s effective sample size estimator, spatial auto-regression models, and spatial eigenvector mapping. SAM supports various data formats, including tab-delimited text, dBase, MS Excel, and ESRI shapefiles. It also includes a GIS environment for data preparation and advanced mapping capabilities. The software has been continuously developed, with improvements in data processing, graphical tools, and statistical methods, such as the implementation of the Mantel test and Geographically Weighted Regression (GWR). SAM is available for download from the official website: <www.ecoevol.ufg.br>.SAM (Spatial Analysis in Macroecology) is a freeware application designed for spatial statistical analysis, particularly focused on surface pattern analysis. It is a compact and powerful stand-alone software with a user-friendly, menu-driven graphical interface. SAM offers a comprehensive array of methods commonly used in macroecology and geographical ecology, ranging from simple exploratory graphical analysis tools to advanced spatial regression models. Since its first release in August 2005, SAM has been downloaded over 9,300 times by researchers from more than 60 countries. The software has been cited in 165 studies, with 83% reporting direct use for spatial statistical analysis. Key features include Moran’s I correlogram, Dutilleul’s effective sample size estimator, spatial auto-regression models, and spatial eigenvector mapping. SAM supports various data formats, including tab-delimited text, dBase, MS Excel, and ESRI shapefiles. It also includes a GIS environment for data preparation and advanced mapping capabilities. The software has been continuously developed, with improvements in data processing, graphical tools, and statistical methods, such as the implementation of the Mantel test and Geographically Weighted Regression (GWR). SAM is available for download from the official website: <www.ecoevol.ufg.br>.
Reach us at info@study.space