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.
| Version: | 0.0.4 |
| Imports: | methods, Rcpp (≥ 0.11.3), sp |
| LinkingTo: | Rcpp |
| Suggests: | rgdal, rgeos |
| Published: | 2016-11-17 |
| Author: | Francois Semecurbe, Stephane G. Roux, and Cecile Tannier |
| Maintainer: | Francois Semecurbe <francois.semecurbe at univ-fcomte.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | gwfa results |
| Reference manual: | gwfa.pdf |
| Package source: | gwfa_0.0.4.tar.gz |
| Windows binaries: | r-devel: gwfa_0.0.4.zip, r-release: gwfa_0.0.4.zip, r-oldrel: gwfa_0.0.4.zip |
| macOS binaries: | r-release: gwfa_0.0.4.tgz, r-oldrel: gwfa_0.0.4.tgz |
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