gwfa: Geographically Weighted Fractal Analysis

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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.

Author
Francois Semecurbe, Stephane G. Roux, and Cecile Tannier
Date of publication
2016-11-17 08:27:38
Maintainer
Francois Semecurbe <francois.semecurbe@univ-fcomte.fr>
License
GPL (>= 2)
Version
0.0.4

View on CRAN

Man pages

Grid-class
Grid class
grid_to_spdf
Transforms Grid Object into SpatialPolygonsDataFrame
guadeloupe
Centroids of buildings of Guadeloupe (French Island in...
gwfa
Geographically Weighted Fractal Analysis
marie_galante
Centroids of buildings of Marie-Galante (French Island in...

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