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SAM: a comprehensive application for Spatial Analysis in Macroecology
Open accessAbstract
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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Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
F. Dormann, C., M. McPherson, J., B. Araújo, M., Bivand, R., Bolliger, J., Carl, G., G. Davies, R., Hirzel, A., Jetz, W., Daniel Kissling, W., et al. (2007) · Ecography · doi:10.1111/j.2007.0906-7590.05171.x · Cited by 3,433
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Maestre, F. T., Quero, J. L., Gotelli, N. J., Escudero, A., Ochoa, V., Delgado-Baquerizo, M., García-Gómez, M., Bowker, M. A., Soliveres, S., Escolar, C., et al. (2012) · Science · doi:10.1126/science.1215442 · Cited by 1,730
Large mesopelagic fishes biomass and trophic efficiency in the open ocean
Irigoien, X., Klevjer, T. A., Røstad, A., Martinez, U., Boyra, G., Acuña, J. L., Bode, A., Echevarria, F., Gonzalez-Gordillo, J. I., Hernandez-Leon, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms4271 · Cited by 813
PASSaGE: Pattern Analysis, Spatial Statistics and Geographic Exegesis. Version 2
Rosenberg, M. S., & Anderson, C. D. (2011) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00081.x · Cited by 800
Arthropod Diversity in a Tropical Forest
Basset, Y., Cizek, L., Cuénoud, P., Didham, R. K., Guilhaumon, F., Missa, O., Novotny, V., Ødegaard, F., Roslin, T., Schmidl, J., et al. (2012) · Science · doi:10.1126/science.1226727 · Cited by 621
Large trees drive forest aboveground biomass variation in moist lowland forests across the tropics
Slik, J. W. F., Paoli, G., McGuire, K., Amaral, I., Barroso, J., Bastian, M., Blanc, L., Bongers, F., Boundja, P., Clark, C., et al. (2013) · Global Ecology and Biogeography · doi:10.1111/geb.12092 · Cited by 558
Metadata
- Authors
- Rangel, T. F., Diniz‐Filho, J. A. F., & Bini, L. M.
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2010-02
- Volume
- 33
- Issue
- 1
- Pages
- 46-50
- ISSN
- 0906-7590 (ISSN-L)
- 1600-0587
- OpenAlex
- W2071931002
- Cited by
- 1,229
- References
- 2
- FWCI
- 248.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
