Ecography · 2010 · 1.2K citations · 26 references
ComputingBiostatisticsEcologySpatial AnalysisSpatial ModelingSpatial StatisticsEcological ModelingGeostatistical AnalysisSpatial Cluster AnalysisSpatial Distribution AnalysisSpatial Pattern AnalysisSpatial Statistical ModelingAutocorrelation FunctionAutocorrelation ModelsExploratory Data Analysis InterfacesFilteringMacroecological Distribution PatternsSpatial Analysis ModelsSpatial Regression
SAM is a free, stand‑alone application that provides a comprehensive suite of spatial statistical methods for macroecology, featuring a user‑friendly, menu‑driven graphical interface. Its methods span exploratory graphical analysis, descriptive statistics of spatial patterns (e.g., autocorrelation metrics), and advanced spatial regression models such as autoregression and eigenvector filtering. The software and its user manual can be downloaded from the SAM website at <http://purl.oclc.org/sam/>.
SAM (Spatial Analysis in Macroecology) is a freeware application that offers a comprehensive array of spatial statistical methods, focused primarily on surface pattern spatial analysis. SAM is a compact, but powerful stand‐alone software, with a user‐friendly, menu‐driven graphical interface. The methods available in SAM are the most commonly used in macroecology and geographical ecology, and range from simple tools for exploratory graphical analysis (e.g. mapping and graphing) and descriptive statistics of spatial patterns (e.g. autocorrelation metrics), to advanced spatial regression models (e.g. autoregression and eigenvector filtering). Download of the software, along with the user manual, can be downloaded online at the SAM website: < www.ecoevol.ufg.br > (permanent URL at < http://purl.oclc.org/sam/ >).
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Novel methods improve prediction of species’ distributions from occurrence data
Jane Elith, Catherine H. Graham, Robert P. Anderson et al. · Ecography · 2006 · 9.1K citations · Full text
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