gwfa: Geographically Weighted Fractal Analysis
Version 0.0.4

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.

Getting started

Package details

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
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gwfa")

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gwfa documentation built on May 29, 2017, 2:59 p.m.