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.

Version: 0.0.4
Imports: methods, Rcpp (≥ 0.11.3), sp
LinkingTo: Rcpp
Suggests: rgdal, rgeos
Published: 2016-11-17
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)]
NeedsCompilation: yes
CRAN checks: gwfa results

Downloads:

Reference manual: gwfa.pdf
Package source: gwfa_0.0.4.tar.gz
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 El Capitan binaries: r-release: gwfa_0.0.4.tgz
OS X Mavericks binaries: r-oldrel: gwfa_0.0.4.tgz

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