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) <http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf> 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 units.it> BugReports: https://github.com/SomEnv/somenv/issues License: GPL-3 URL: https://github.com/SomEnv/somenv NeedsCompilation: no Citation: SOMEnv citation info CRAN checks: SOMEnv results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SOMEnv to link to this page.
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