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

Documentation:

Reference manual:

gwfa.pdf

Downloads:

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
macOS binaries:	r-release (arm64): gwfa_0.0.4.tgz, r-oldrel (arm64): gwfa_0.0.4.tgz, r-release (x86_64): gwfa_0.0.4.tgz, r-oldrel (x86_64): gwfa_0.0.4.tgz

Linking:

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