Multifractal estimation using a standard box-counting algorithm: version 2
Creators
- 1. Instituto de Ciencias Básicas, Universidad Nacional de General Sarmiento, Buenos Aires, Argentina
Description
Update to version 1:
- Included pre-compiled windows binaries
- Some minor changes to compile with MinGW gcc g++ compiler
- Changes in the R scripts to make them compatible with Windows
The latest source code can also be found at: https://github.com/lsaravia/mfsba/releases
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Software used to determine multifractal spectra: Generalized dimensions Dq and spectrum of singularities f(alfa), the software was used in the paper:
Saravia LA, Giorgi A, Momo F (2012) Multifractal growth in periphyton communities. Oikos 121: 1810–1820.
mfSBA estimate both spectra and outputs data to evaluate the fits. A more detailed description is in the file mfSBA_README.
mfSBArnz estimate the Dq spectrun and randomize the original image N times to calculate a confidence interval to test the hipothesis that the original distribution was random.
multiSpeciesSBA estimates the multifractal spectra of a 2D species distribution assuming that each position is one individual and that each value represents a different specie.
sed2grad transforms a sed file using a discrete gradient transformation. This program was used in the paper:
Saravia LA, Giorgi A, Momo FR (2012) Multifractal Spatial Patterns and Diversity in an Ecological Succession. PLoS One 7: e34096.
The programs accept as input tiff, and sed files (ASCII format).
b4-991008bio.sed/tif are examples from the paper of 2D biomass distributions to analyze with the program.
q21.sed is a file with q values used to estimate spectra.
Please leave an Issue on github if you have some trouble.