somspace (1.0.0)

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Spatial Analysis with Self-Organizing Maps.

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).

Maintainer: Yannis Markonis
Author(s): Yannis Markonis [aut, cre], Filip Strnad [aut], Simon Michael Papalexiou [aut]

License: GPL-3

Uses: data.table, ggplot2, kohonen, maps, testthat, knitr, rmarkdown

Released 8 months ago.



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