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• W2034385071 abstract "<ns4:p>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 <ns4:ext-link xmlns:ns3=http://www.w3.org/1999/xlink ext-link-type=uri ns3:href=https://github.com/lsaravia/mfsba>https://github.com/lsaravia/mfsba</ns4:ext-link> and permanently available at doi: <ns4:ext-link xmlns:ns3=http://www.w3.org/1999/xlink ext-link-type=uri ns3:href=https://zenodo.org/record/8481#.UyB33oUuTcs>10.5281/zenodo.8481</ns4:ext-link>). 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</ns4:p><ns4:p>multispecies spatial patterns with multifractals: spatial rank surface, which is included in the software.</ns4:p>" @default.
• W2034385071 created "2016-06-24" @default.
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• W2034385071 date "2014-04-07" @default.
• W2034385071 modified "2023-09-26" @default.
• W2034385071 title "mfSBA: Multifractal analysis of spatial patterns in ecological communities" @default.
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• W2034385071 doi "https://doi.org/10.12688/f1000research.3-14.v2" @default.
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