Package: somspace
Type: Package
Title: Spatial Analysis with Self-Organizing Maps
Version: 1.0.0
Authors@R: c(person("Yannis", "Markonis",
                     role = c("aut", "cre"),
                     email = "imarkonis@gmail.com"),
              person("Filip", "Strnad", 
                      role = "aut"),
              person("Simon Michael", "Papalexiou",
                      role = "aut"))
Description: Application of the Self-Organizing Maps technique for spatial classification of time series. The package uses spatial data, point or gridded, to create clusters with similar characteristics. The clusters can be further refined to a smaller number of regions by hierarchical clustering and their spatial dependencies can be presented as complex networks. Thus, meaningful maps can be created, representing the regional heterogeneity of a single variable. More information and an example of implementation can be found in Markonis and Strnad (2019).
License: GPL-3
Depends: R (>= 3.4.0), ggplot2, data.table, kohonen, maps
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-10 07:07:49 UTC; markonis
Author: Yannis Markonis [aut, cre],
  Filip Strnad [aut],
  Simon Michael Papalexiou [aut]
Maintainer: Yannis Markonis <imarkonis@gmail.com>
Repository: CRAN
Date/Publication: 2019-05-13 11:00:02 UTC
Built: R 3.5.2; ; 2019-05-14 10:39:49 UTC; unix
