Geographically Weighted Fractal Analysis

Performs Geographically Weighted Fractal Analysis (GWFA) to calculate the local fractal dimension of a set of points. GWFA mixes the Sandbox multifractal algorithm and the Geographically Weighted Regression. Unlike fractal box-counting algorithm, the sandbox algorithm avoids border effects because the boxes are adjusted on the set of points. The Geographically Weighted approach consists in applying a kernel that describes the way the neighbourhood of each estimated point is taken into account to estimate its fractal dimension. GWFA can be used to discriminate built patterns of a city, a region, or a whole country.


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install.packages("gwfa")

0.0.4 by Francois Semecurbe, 2 years ago


Browse source code at https://github.com/cran/gwfa


Authors: Francois Semecurbe , Stephane G. Roux , and Cecile Tannier


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, Rcpp, sp

Suggests rgdal, rgeos

Linking to Rcpp


See at CRAN