2010 | Thiago F. Rangel, Jose Alexandre F. Diniz-Filho and Luis Mauricio Bini
SAM is a freeware application for spatial analysis in macroecology, offering a wide range of spatial statistical methods. It is a compact, user-friendly, stand-alone software with a menu-driven graphical interface. SAM provides tools for exploratory graphical analysis, descriptive statistics of spatial patterns, and advanced spatial regression models. It is widely used by researchers in over 60 countries, with more than 9300 downloads since its 2005 release. SAM has been continuously developed, incorporating new features such as optimized linear algebra libraries, improved spatial analysis tools, and enhanced data processing capabilities.
SAM allows users to input various data formats, including tab-delimited text, dBase, MS Excel, and ESRI shapefiles. It supports the analysis of species presence/absence matrices and can generate presence/absence matrices directly from shapefiles. The software also includes a GIS environment that enables users to prepare data for macroecological analysis without additional software.
SAM includes a rich set of graphical analytical tools for exploratory data analysis, allowing users to visualize spatial patterns and relationships. It supports the identification of geographically structured relationships through tools like Pattern Finder. SAM also provides methods for measuring spatial autocorrelation, including Moran's I, asymmetric and directional correlograms, and local Moran's I.
SAM includes advanced regression models, such as autoregression and spatial eigenvector mapping (SEVM), which help in analyzing spatial relationships and patterns. The software also supports geographically weighted regression (GWR), which allows for the evaluation of spatially varying model parameters. Additionally, SAM can be used for species distribution modeling, incorporating presence-absence data and environmental variables.
SAM is a powerful tool for macroecological research, offering a comprehensive set of spatial statistical methods and user-friendly features. It is widely used by researchers in various fields, including ecology, geography, and evolutionary biology. The software is continuously updated and improved, reflecting the evolving needs of spatial analysis in macroecology.SAM is a freeware application for spatial analysis in macroecology, offering a wide range of spatial statistical methods. It is a compact, user-friendly, stand-alone software with a menu-driven graphical interface. SAM provides tools for exploratory graphical analysis, descriptive statistics of spatial patterns, and advanced spatial regression models. It is widely used by researchers in over 60 countries, with more than 9300 downloads since its 2005 release. SAM has been continuously developed, incorporating new features such as optimized linear algebra libraries, improved spatial analysis tools, and enhanced data processing capabilities.
SAM allows users to input various data formats, including tab-delimited text, dBase, MS Excel, and ESRI shapefiles. It supports the analysis of species presence/absence matrices and can generate presence/absence matrices directly from shapefiles. The software also includes a GIS environment that enables users to prepare data for macroecological analysis without additional software.
SAM includes a rich set of graphical analytical tools for exploratory data analysis, allowing users to visualize spatial patterns and relationships. It supports the identification of geographically structured relationships through tools like Pattern Finder. SAM also provides methods for measuring spatial autocorrelation, including Moran's I, asymmetric and directional correlograms, and local Moran's I.
SAM includes advanced regression models, such as autoregression and spatial eigenvector mapping (SEVM), which help in analyzing spatial relationships and patterns. The software also supports geographically weighted regression (GWR), which allows for the evaluation of spatially varying model parameters. Additionally, SAM can be used for species distribution modeling, incorporating presence-absence data and environmental variables.
SAM is a powerful tool for macroecological research, offering a comprehensive set of spatial statistical methods and user-friendly features. It is widely used by researchers in various fields, including ecology, geography, and evolutionary biology. The software is continuously updated and improved, reflecting the evolving needs of spatial analysis in macroecology.