gwfa: 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.
||methods, Rcpp (≥ 0.11.3), sp
||Francois Semecurbe, Stephane G. Roux, and Cecile Tannier
||Francois Semecurbe <francois.semecurbe at univ-fcomte.fr>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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