SOMEnv: SOM Algorithm for the Analysis of Multivariate Environmental Data

Analysis of multivariate environmental high frequency data by Self-Organizing Map and k-means clustering algorithms. By means of the graphical user interface it provides a comfortable way to elaborate by self-organizing map algorithm rather big datasets (txt files up to 100 MB ) obtained by environmental high-frequency monitoring by sensors/instruments. The functions present in the package are based on 'kohonen' and 'openair' packages implemented by functions embedding Vesanto et al. (2001) <> heuristic rules for map initialization parameters, k-means clustering algorithm and map features visualization. Cluster profiles visualization as well as graphs dedicated to the visualization of time-dependent variables Licen et al. (2020) <doi:10.4209/aaqr.2019.08.0414> are provided.

Version: 1.1.2
Depends: R (≥ 3.6.0)
Imports: rlist, kohonen, shiny, dplyr, plyr, openair, colourpicker, shinycssloaders, shinycustomloader
Published: 2021-07-26
DOI: 10.32614/CRAN.package.SOMEnv
Author: Sabina Licen [aut, cre], Marco Franzon [aut], Tommaso Rodani [aut], Pierluigi Barbieri [aut]
Maintainer: Sabina Licen <slicen at>
License: GPL-3
NeedsCompilation: no
Citation: SOMEnv citation info
CRAN checks: SOMEnv results


Reference manual: SOMEnv.pdf


Package source: SOMEnv_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SOMEnv_1.1.2.tgz, r-oldrel (arm64): SOMEnv_1.1.2.tgz, r-release (x86_64): SOMEnv_1.1.2.tgz, r-oldrel (x86_64): SOMEnv_1.1.2.tgz
Old sources: SOMEnv archive


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