Multifractal estimation using a standard box-counting algorithm

<p>Software used to determine multifractal spectra: Generalized dimensions Dq and spectrum of singularities f(alfa), the software was used in the paper:</p> <p>Saravia LA, Giorgi A, Momo F (2012) Multifractal growth in periphyton communities. Oikos 121: 1810–1820.</p> <p><em>mfSBA</em> estimate both spectra and outputs data to evaluate the fits. A more detailed description is in the file mfSBA_README.</p> <p><em>mfSBArnz</em> 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.</p> <p><em>multiSpeciesSBA</em> estimates the multifractal spectra of a 2D species distribution assuming that each position is one individual and that each value represents a different specie.</p> <p><em>sed2grad</em> transforms a sed file using a discrete gradient transformation. This program was used in the paper:</p> <p>Saravia LA, Giorgi A, Momo FR (2012) Multifractal Spatial Patterns and Diversity in an Ecological Succession. PLoS One 7: e34096.</p> <p>The programs accept as input tiff, and sed files (ASCII format).</p> <p>b4-991008bio.sed/tif are examples from the paper of 2D biomass distributions to analyze with the program.</p> <p>q21.sed is a file with q values used to estimate spectra.</p> <p>Please leave an Issue on github if you have some trouble.