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.

AuthorFrancois Semecurbe, Stephane G. Roux, and Cecile Tannier
Date of publication2016-11-17 08:27:38
MaintainerFrancois Semecurbe <francois.semecurbe@univ-fcomte.fr>
LicenseGPL (>= 2)
Version0.0.4

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Files in this package

gwfa
gwfa/src
gwfa/src/rcpp_gwfa.cpp
gwfa/src/RcppExports.cpp
gwfa/NAMESPACE
gwfa/data
gwfa/data/mariegalante.rdata
gwfa/data/datalist
gwfa/data/guadeloupe.rdata
gwfa/R
gwfa/R/Class_grid.R gwfa/R/RcppExports.R
gwfa/MD5
gwfa/DESCRIPTION
gwfa/man
gwfa/man/marie_galante.Rd gwfa/man/grid_to_spdf.Rd gwfa/man/gwfa.Rd gwfa/man/guadeloupe.Rd gwfa/man/Grid-class.Rd

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