SAM: a comprehensive application for Spatial Analysis in Macroecology

By Thiago Fernando Rangel, J. Diniz-Filho, Luis Mauricio Bini. 2010

1,260 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/704ad5908f0b6a63857debcbe8ddece8b6656755

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Binbin Lu
2. Paul Harris
3. Martin Charlton
4. Robert K. Colwell
5. Brody Sandel
6. J. Scott Maclvor
7. E. M. Dangremond
8. Thiago Fernando Rangel

In Global and Planetary Change

1. C. Rahbek
2. Thiago Fernando Rangel
3. J. Diniz-Filho
4. Miguel B. Araújo
5. Walter Jetz
6. D. Nogués-Bravo
7. J. Scott Maclvor
8. Diogo Alagador

Citations in the corpus

• Climatic stability in the Brazilian Cerrado: implications for biogeographical connections of South American savannas, species richness and conservation in a biodiversity hotspot (2012, methodology): “The SAR model and partial regression approaches were implemented using sam – Spatial Analysis in Macroecology 3.1 (Rangel et al., 2010).”
• Macroecology of pollination networks (2013, methodology): “Unless otherwise stated, any reported R2 was the raw effect of the variable in question without the influence of space (Rangel et al., 2010).”
• Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) (2012, methodology): “0 software (Rangel et al., 2010).”
• Building height matters: nesting activity of bees and wasps on vegetated roofs (2016, methodology): “0 (Rangel et al. 2010) were used to examine whether trap nest colonizers from more proximal sites were more similar than what would be expected in a random spatial pattern (Legendre 1993).”
• Climate change and the invasion of California by grasses (2012, methodology): “These analyses were performed using the Spatial Analysis in Macroecology software package (Rangel et al., 2006, 2010).”
• PASSaGE: Pattern Analysis, Spatial Statistics and Geographic Exegesis. Version 2 (2011, positive): “Methods in Ecology and Evolution 2010 British Ecological Society, Methods in Ecology and Evolution, 2 229–232 library of Python functions intended to aid the development of applications for spatial analysis (Rey & Anselin 2010).”
• Global diversity and geography of soil fungi (2014, methodology): “To account for potential autocorrelation effects, we calculated spatial eigenvectors using SAM version 4 (22).”
• Support for major hypotheses in invasion biology is uneven and declining (2012, methodology): “The spatial analyses were performed using Spatial Analysis in Macroecology (SAM) software (version 4.0; Rangel et al. 2010).”
• GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models (2013, methodology): “…Brunsdon 2003); the ArcGIS GW regression tool in the Spatial Statistics Toolbox (ESRI (Environmental Systems Resource Institute) 2013); SAM for GW regression applications in macroecology (Rangel, Diniz-Filho, and Bini 2010); and SpaceStat for GW regression applications in health (BioMedware 2011).”
• Anuran Species Composition and Distribution Patterns in Brazilian Cerrado, a Neotropical Hotspot (2012, background): “2008) and the development of a wide range of tools to describe and analyze geographic patterns (Guo and Liu 2010; Laffan et al. 2010; Rangel et al. 2010).”