c(person("Stephane","Thanassekos",role = c("aut", "cre"), email = "stephane.thanassekos@ccamlr.org"),
person("Keith", "Reid", role = "aut"),
person("Lucy", "Robinson", role = "aut"),
person("Michael D.","Sumner", role = "ctb"))
Loads and creates spatial data, including layers and tools that are relevant
to the activities of the Commission for the Conservation of Antarctic Marine Living
Resources. Provides two categories of functions: load functions and create functions.
Load functions are used to import existing spatial layers from the online CCAMLR GIS
such as the ASD boundaries. Create functions are used to create layers from user data
such as polygons and grids.
methods, rgdal, rgeos, geosphere, graphics, grDevices,
magrittr
Stephane Thanassekos [aut, cre],
Keith Reid [aut],
Lucy Robinson [aut],
Michael D. Sumner [ctb]

c(person("Stephane","Thanassekos",role = c("aut", "cre"), email = "stephane.thanassekos@ccamlr.org"),
person("Keith", "Reid", role = "aut"),
person("Lucy", "Robinson", role = "aut"),
person("Michael D.","Sumner", role = "ctb"),
person("Roger","Bivand", role = "ctb"))
Stephane Thanassekos [aut, cre],
Keith Reid [aut],
Lucy Robinson [aut],
Michael D. Sumner [ctb],
Roger Bivand [ctb]

dplyr, raster, methods, rgdal, rgeos, geosphere, graphics,
grDevices, magrittr

dplyr, geosphere, terra, graphics, raster, grDevices, magrittr

dplyr, geosphere, terra, graphics, raster, grDevices,
magrittr, stars

Classification method that classifies a sample according
to the class with the maximimum mean (or any other function of)
correlation between the test and training samples with known
classes.

Classification method that classifies a sample according
to the class with the maximum mean (or any other function of)
correlation between the test and training samples with known
classes.

Classification method described in Dancik et al (2011) <doi:10.1158/0008-5472.CAN-11-2427> that classifies a sample according to the class with the maximum mean (or any other function of) correlation between the test and training samples with known classes.