New Data Visualisations for SOMs Networks
c(person("Felipe","Carvalho", role=c("aut","cre"), email="lipecaso@gmail.com"),
person("Rafael", "Santos", role="ctb", email="rafael.santos@inpe.br"),
person("Karine", "Reis", role="ctb", email="karine.ferreira@inpe.br"))
The aim of this package is to offer more variability of graphics based on the self-organizing maps.
dplyr, magrittr, tidyr, ggplot2, kohonen, assertthat,
data.table, entropy, tibble
'ggsom.R' 'ggsom_aes.R' 'ggsom_entropy.R' 'ggsom_plot.R'
'ggsom_utils.R' 'zzz.R'
Felipe Carvalho [aut, cre],
Rafael Santos [ctb],
Karine Reis [ctb]

Spatial data plus the power of the ggplot2 framework means easier mapping when input
data are already in the form of Spatial* objects.
rosm (>= 0.2), abind, reshape2, methods, rgdal, maptools,
plyr, raster, scales

c(
person("Dewey", "Dunnington", , "dewey@fishandwhistle.net", c("aut", "cre")),
person("Brent", "Thorne", role = "ctb")
)
Spatial data plus the power of the ggplot2 framework means easier mapping when input
data are already in the form of spatial objects.
sf, rosm (>= 0.2), abind, reshape2, methods, plyr, raster,
tibble, scales, tidyr, grid
prettymapr, mapproj, knitr, rmarkdown, sp, rgdal, testthat,
dplyr, withr, ggrepel, covr
Dewey Dunnington [aut, cre],
Brent Thorne [ctb]

c(
person("Dewey", "Dunnington",
email = "dewey@fishandwhistle.net",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9415-4582")
),
person("Brent", "Thorne", role = "ctb")
)
sf, rosm (>= 0.2), abind, reshape2, methods, plyr, raster,
tibble, scales, tidyr, rlang, grid
prettymapr, mapproj, knitr, rmarkdown, sp, rgdal, testthat,
dplyr, withr, ggrepel, stars, covr
Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>),
Brent Thorne [ctb]

c(
person("Dewey", "Dunnington",
email = "dewey@fishandwhistle.net",
role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9415-4582")
),
person("Brent", "Thorne", role = "ctb", comment = c(ORCID = "0000-0002-1099-3857"))
)
sf, ggplot2 (>= 3.0.0), rosm (>= 0.2), abind, methods, tibble,
scales, tidyr, rlang, grid, glue, lwgeom
prettymapr, knitr, rmarkdown, sp, rgdal, raster, testthat (>=
2.1.0), dplyr, withr, ggrepel, stars, covr, vdiffr