maps (version 3.0.2)

world2: Pacific Centric Low resolution World Map

Description

This world database comes from a thinned cleaned-up version of the CIA World Data Bank II data and contains approximately 30,000 points representing the world coastlines and national boundaries. The full database of nearly 2 million points is found in the mapdata package. This map is based on latitudes [0, 360), which then has the Pacific Ocean in the centre of the map.

Usage

data(world2MapEnv)

Arguments

NOTE

The same effect can in fact be obtained by using a projection:

map("world",projection="rectangular",parameter=0,orientation=c(90,0,180), wrap=TRUE)

By changing the third component of 'orientation', the longitude shift can also be set to any other value besides 180 or 0 (but then fill=TRUE will usually give artefacts at the borders). You may even need to set 'resolution=0' if the wrapping algorithm fails because of the thinning.

This method is in fact to be preferred, as it will also render correctly with fill=TRUE. Currently, the wrapping code does not work well with world2.

format

The data file is merely a character string which specifies the name of an environment variable which contains the base location of the binary files used by the map drawing functions. This environment variable (R_MAP_DATA_DIR_WORLD for the datasets in the maps package) is set at package load time if it does not already exist. Hence setting the environment variable before loading the package can override the default location of the binary datasets.

It is also (during a transition phase) possible to switch to the old legacy world map using the function world.legacy().

source

The Natural Earth data set is available from http://www.naturalearthdata.com.

The legacy CIA World Data Bank II is currently (mid-2003) available from https://www.evl.uic.edu/pape/data/WDB/.

References

Richard A. Becker, and Allan R. Wilks, "Maps in S", AT&T Bell Laboratories Statistics Research Report [93.2], 1993.

Richard A. Becker, and Allan R. Wilks, "Constructing a Geographical Database", AT&T Bell Laboratories Statistics Research Report [95.2], 1995.

See Also

map, world,world.legacy

Examples

Run this code
map('world2', xlim = c(100, 300))
map.axes()

Run the code above in your browser using DataLab