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.


Reference manual

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0.0.4 by Francois Semecurbe, 2 years ago

Browse source code at

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