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gwfa  

Geographically Weighted Fractal Analysis
View on CRAN: Click here


Download and install gwfa package within the R console
Install from CRAN:
install.packages("gwfa")

Install from Github:
library("remotes")
install_github("cran/gwfa")

Install by package version:
library("remotes")
install_version("gwfa", "0.0.4")



Attach the package and use:
library("gwfa")
Maintained by
Francois Semecurbe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-17
Latest Update: 2023-08-18
Description:
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.
How to cite:
Francois Semecurbe (2016). gwfa: Geographically Weighted Fractal Analysis. R package version 0.0.4, https://cran.r-project.org/web/packages/gwfa. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.0.4 (2016-11-17 08:27)
Other packages that cited gwfa R package
View gwfa citation profile
Other R packages that gwfa depends, imports, suggests or enhances
Functions, R codes and Examples using the gwfa R package
Some associated functions: Grid-class . grid_to_spdf . guadeloupe . gwfa . marie_galante . 
Some associated R codes: Class_grid.R . RcppExports.R .  Full gwfa package functions and examples
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