Multifractal estimation using a standard box-counting algorithm

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.