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|Type:||Artigo de periódico|
|Title:||Improving the analyses of nestedness for large sets of matrices|
|Abstract:||Nestedness is a property of binary matrices of ecological data and quantified by the matrix's temperature, T. The program widely used to calculate T is Nestedness Temperature Calculator (NTC). NTC analyses matrices individually, turning the analysis of large sets time-consuming. We introduce ANINHADO, a program developed to perform rapid and automatic calculation of T over 10,000 matrices. ANINHADO can be useful to minimize the time spent in analysis and to compare real data against a variety of null models that typically generate a large number of replicates. (c) 2006 Elsevier Ltd. All rights reserved.|
|Editor:||Elsevier Sci Ltd|
|Citation:||Environmental Modelling & Software. Elsevier Sci Ltd, v. 21, n. 10, n. 1512, n. 1513, 2006.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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