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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.
Getting started
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Package details |
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| Author | Francois Semecurbe, Stephane G. Roux, and Cecile Tannier |
| Maintainer | Francois Semecurbe <francois.semecurbe@univ-fcomte.fr> |
| License | GPL (>= 2) |
| Version | 0.0.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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