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somspace  

Spatial Analysis with Self-Organizing Maps
View on CRAN: Click here


Download and install somspace package within the R console
Install from CRAN:
install.packages("somspace")

Install from Github:
library("remotes")
install_github("cran/somspace")

Install by package version:
library("remotes")
install_version("somspace", "1.2.4")



Attach the package and use:
library("somspace")
Maintained by
Yannis Markonis
[Scholar Profile | Author Map]
First Published: 2019-05-13
Latest Update: 2023-04-28
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>).
How to cite:
Yannis Markonis (2019). somspace: Spatial Analysis with Self-Organizing Maps. R package version 1.2.4, https://cran.r-project.org/web/packages/somspace. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-05-13 13:00)
Other packages that cited somspace R package
View somspace citation profile
Other R packages that somspace depends, imports, suggests or enhances
Complete documentation for somspace
Functions, R codes and Examples using the somspace R package
Some associated functions: cnet . owda . plot_ts . regs . sominp . somregs . somsp . somspa . 
Some associated R codes: cnet.R . get_ts.R . owda.R . plot_regs.R . plot_somsp.R . plot_ts.R . regs_class.R . sominp.R . somregs.R . somsp_class.R . somspa.R . summary_somsp.R .  Full somspace package functions and examples
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