Weighted-Interaction Nestedness Estimator (WINE): A new estimator to calculate over frequency matrices

TL;DR

WINE is a Matlab-based GUI tool that calculates a new weighted interaction nestedness estimator, providing visualizations and indices to analyze nestedness in frequency matrices.

Contribution

The paper introduces WINE, a novel Matlab application that computes a new weighted nestedness estimator and offers visual and quantitative analysis tools.

Findings

Provides a new weighted nestedness estimator for frequency matrices.

Includes graphical interface for data analysis and visualization.

Offers comparative indices to assess nestedness significance.

Abstract

We have developed a graphical user interface (GUI) running in Matlab, called Weighted-Interaction Nestedness Estimator, WINE (Fig. 1). WINE is a Matlab application developed to perform the calculation of the new weighted nestedness estimator. This program allows the user to: open a data file, select the range of data to be analysed, and calculate the results, obtaining two graphics and three indices. The indices shown in the graphical interface are: a) weighted nestedness of the frequency matrix, b) average weighted nestedness of 100 random matrices of similar characteristics, and c) the new weighted- interaction nestedness estimator, which compares the two previous results.