Package: windfarmGA
Title: Genetic Algorithm for Wind Farm Layout Optimization
Version: 2.2.3
Authors@R: c(
    person("Sebastian", "Gatscha", , email="sebastian_gatscha@gmx.at", c("aut", "cre"))
    )
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>
Description: The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.
Depends: R (>= 3.2.3)
Imports: rgdal, Rcpp, raster, sf, sp, rworldmap, gstat, ggplot2,
        RColorBrewer, calibrate, grDevices, graphics, leaflet,
        magrittr, foreach, parallel, doParallel, methods, spatstat,
        stats, utils
LinkingTo: Rcpp
LazyData: TRUE
License: MIT + file LICENSE
URL: https://ysosirius.github.io/windfarmGA/index.html
BugReports: https://github.com/YsoSirius/windfarmGA/issues
RoxygenNote: 6.1.1
Suggests: testthat, pkgdown, dplyr, rgeos
Encoding: UTF-8
X-schema.org-keywords: windfarm-layout, optimization,
        genetic-algorithm, renewable-energy, r, rstats, r-package
NeedsCompilation: yes
Packaged: 2019-12-16 16:06:15 UTC; gatscha
Author: Sebastian Gatscha [aut, cre]
Repository: CRAN
Date/Publication: 2019-12-16 17:30:02 UTC
Built: R 3.5.2; x86_64-apple-darwin15.6.0; 2019-12-17 15:48:34 UTC; unix
Archs: windfarmGA.so.dSYM
