Adds north symbols (18 options) and scale bars in kilometers to
maps in geographic or metric coordinates created with 'ggplot2' or 'ggmap'.

c(person(given='Oswaldo', family='Santos Baquero',
email='baquero@usp.br', role=c("aut", "cre")))

sf, png, maptools, ggmap, graphics, utils
Adds north symbols (18 options) and scale bars in kilometers,
meters, nautical miles, or statue miles, to maps in geographic
or metric coordinates created with 'ggplot2' or 'ggmap'.

person("Ben", "Torvaney", email = "torvaney@protonmail.com", role = c("aut", "cre"))
The 'ggplot2' package provides a powerful set of tools
for visualising and investigating data. The 'ggsoccer' package provides a
set of functions for elegantly displaying and exploring soccer event data
with 'ggplot2'. Providing extensible layers and themes, it is designed to
work smoothly with a variety of popular sports data providers.

A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM
person("Marco", "van Zanden", email = "git@vanzanden.nl", role = c("aut", "cre"))
An implementation of 'ggplot2'-methods to present the composition of Solvency II Solvency Capital Requirement (SCR) as a series of concentric circle-parts.
Solvency II (Solvency 2) is European insurance legislation, coming in force by the delegated acts of October 10, 2014.
<https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ%3AL%3A2015%3A012%3ATOC>.
Additional files, defining the structure of the Standard Formula (SF) method of the SCR-calculation are provided.
The structure files can be adopted for localization or for insurance companies who use Internal Models (IM).
Options are available for combining smaller components, horizontal and vertical scaling, rotation, and plotting only some circle-parts.
With outlines and connectors several SCR-compositions can be compared, for example in ORSA-scenarios (Own Risk and Solvency Assessment).

New Data Visualisations for SOMs Cluster
c(person("Felipe","Carvalho", role=c("aut","cre"), email="lipecaso@gmail.com"),
person("Rafael", "Santos", role = "ctb", email="rafael.santos@inpe.br"))
Contains parallel coordinate and attribute mapping visualisations for cluster data.
tidyverse, kohonen, ggthemes, ggplot2, dplyr, tidyr
'utils.R' 'aes_som.R' 'ggsom.R' 'ggsom_line.R' 'ggsom_rect.R'
'ggsom_ribbon.R' 'zzz.R'
Felipe Carvalho [aut, cre],
Rafael Santos [ctb]