2010
DOI: 10.1111/j.1600-0587.2009.06299.x
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SAM: a comprehensive application for Spatial Analysis in Macroecology

Abstract: 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 sp… Show more

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Cited by 1,070 publications
(785 citation statements)
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References 22 publications
(25 reference statements)
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“…Significance was tested for each distance class using 999 random permutations, and it was established using the Bonferroni correction for multiple comparisons, P=0.05/5 distance classes =0.0125. This analysis used the software SAM (Spatial Analysis in Macroecology) developed by Rangel et al (2010).…”
Section: Data Collection and Analysismentioning
confidence: 99%
“…Significance was tested for each distance class using 999 random permutations, and it was established using the Bonferroni correction for multiple comparisons, P=0.05/5 distance classes =0.0125. This analysis used the software SAM (Spatial Analysis in Macroecology) developed by Rangel et al (2010).…”
Section: Data Collection and Analysismentioning
confidence: 99%
“…As Moran's I showed very low values in the first (I = -0.033) and last distance classes (I = 0.014), we followed up with the standard simple linear regression analysis to test the abundance-suitability relationship. Spatial autocorrelation analysis and linear regression were performed using SAM 4.0 (Rangel et al 2010).…”
Section: Abundance and Environmental Suitability Data For Anoura Caudmentioning
confidence: 99%
“…The effects of the spatial autocorrelation on diversity and evenness were inferred based on Moranʼs I results for species richness and abundance since such index are originated from simultaneous association of the richness and abundance. The Moranʼs I analysis was performed using the software SAM V.4.0 (Rangel et al, 2010).…”
Section: Methodsmentioning
confidence: 99%