2014/04/07 by Leonardo Saravia · 1 citation
Environmental Science · Economics, Econometrics and Finance · Biochemistry, Genetics and Molecular Biology · #Ecosystem dynamics and resilience #Complex Systems and Time Series Analysis #Evolution and Genetic Dynamics #Context (archaeology) #Software #Correlative #Biology #Computer science #Paleontology
paper · doi:10.12688/f1000research.3-14.v2
openalex publication_date 2014/04/07 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/31
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.