Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Giovanni Strona, Paolo Galli, Davide Seveso, Simone Montano, Simone Fattorini
Title: Nestedness for Dummies (NeD): A User-Friendly Web Interface for Exploratory Nestedness Analysis
Abstract: Recent theoretical advances in nestedness analysis have led to the introduction of several alternative metrics to overcome most of the problems biasing the use of matrix 'temperature' calculated by Atmar's Nestedness Temperature Calculator. However, all of the currently available programs for nestedness analysis lack the user friendly appeal that has made the Nestedness Temperature Calculator one of the most popular community ecology programs. The software package NeD is an intuitive open source application for nestedness analysis that can be used online or locally under different operating systems. NeD is able to automatically handle different matrix formats, has batch functionalities and produces an output that can be easily copied and pasted to a spreadsheet. In addition to numerical results, NeD provides a graphic representation of the matrix under examination and of the corresponding maximally packed matrix. NeD allows users to select among the most used nestedness metrics, and to combine them with different null models. Integrating easiness of use with the recent theoretical advances in the field, NeD provides researchers not directly involved in theoretical debates with a simple yet robust statistical tool for a more conscious performance of nestedness analysis. NeD can be accessed at http: //

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Paper: Nestedness for Dummies (NeD): A User-Friendly Web Interface for Exploratory Nestedness Analysis     Download PDF (Downloads: 5182)
Supplements: Python source code Download (Downloads: 378; 268KB) Replication data and scripts for Section \'NeD testing\' Download (Downloads: 338; 107KB)
v59c03-replication.txt: Replication instructions Download (Downloads: 510; 5KB)

DOI: 10.18637/jss.v059.c03

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.