@article{saraviaMfSBAMultifractalAnalysis2014,
  title = {{{mfSBA}}: {{Multifractal}} Analysis of Spatial Patterns in Ecological Communities},
  author = {Saravia, Leonardo A.},
  year = {2014},
  month = apr,
  volume = {3},
  pages = {14+},
  issn = {2046-1402},
  doi = {10.12688/f1000research.3-14.v2},
  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 permanently available at doi: 10.5281/zenodo.8481). 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.},
  journal = {F1000Research},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-13475910,ecology,fractal,indices,spatial-analysis,spatial-pattern},
  lccn = {INRMM-MiD:c-13475910}
}

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