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.
|Imports:||methods, Rcpp (≥ 0.11.3), sp|
|Author:||Francois Semecurbe, Stephane G. Roux, and Cecile Tannier|
|Maintainer:||Francois Semecurbe <francois.semecurbe at univ-fcomte.fr>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||gwfa results|
|Windows binaries:||r-devel: gwfa_0.0.4.zip, r-release: gwfa_0.0.4.zip, r-oldrel: gwfa_0.0.4.zip|
|OS X Mavericks binaries:||r-release: gwfa_0.0.4.tgz, r-oldrel: gwfa_0.0.4.tgz|
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