CITATION

Saravia LA (2014) mfSBA: Multifractal analysis of spatial patterns in ecological communities [v1; ref status: approved with reservations 2, http://f1000r.es/2p4]. F1000Research 3: 14. doi: 10.12688/f1000research.3-14.v1.

@article{Saravia2014,
abstract = {Multifractals have been applied to characterize complex communities in a spatial context. They were developed for nonlinear systems and are particularly suited to capture multiplicative processes observed in ecological systems. Multifractals characterize variability in a scale-independent way within an experimental range. I have developed an open-source software package to estimate multifractals using a box-counting algorithm (available from https://github.com/lsaravia/mfsba and permenatly available at doi: 10.5281/zenodo.7659). The software is specially designed for two dimensional (2D) images such as the ones obtained from remote sensing, but other 2D data types can also be analyzed. Additionally I developed a new metric to analyze multispecies spatial patterns with multifractals: spatial rank surface, which is included in the software.},
author = {Saravia, Leonardo A},
doi = {10.12688/f1000research.3-14.v1},
journal = {F1000Research},
pages = {14},
title = {{mfSBA: Multifractal analysis of spatial patterns in ecological communities [v1; ref status: approved with reservations 2, http://f1000r.es/2p4]}},
url = {http://f1000research.com/articles/3-14/v1},
volume = {3},
year = {2014}
}