Package: somspace
Type: Package
Title: Spatial Analysis with Self-Organizing Maps
Version: 1.2.4
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"),
              person("Mijael Rodrigo", "Vargas Godoy", role = "ctb"))
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 (2020, <doi:10.1177/0959683620913924>).
License: GPL-3
Depends: R (>= 3.5.0), ggplot2, data.table, kohonen
Imports: maps, reshape2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-27 07:44:00 UTC; mirovago
Author: Yannis Markonis [aut, cre],
  Filip Strnad [aut],
  Simon Michael Papalexiou [aut],
  Mijael Rodrigo Vargas Godoy [ctb]
Maintainer: Yannis Markonis <imarkonis@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-28 17:40:02 UTC
Built: R 4.5.0; ; 2025-04-02 07:24:33 UTC; unix
