wppExplorerBayesMig-package: Explorer of the World Population Prospects with Migration...

Description Details Author(s) Source References See Also

Description

This is a modified version of the wppExplorer package that allows you to interactively explore probabilistic population projections with migration uncertainty produced using the method by Azose et al. (2016) contained in the R package wpp2015BayesMig.

Details

Package: wppExplorerBayesMig
Version: 0.2-1
Date: 2017-01-06
Depends: R (>= 3.0.0)
License: GPL (>= 2)

The main function of the packge is wpp.explore which opens an interactive interface in a web browser. A few helper functions are available for a fast access to the (possibly filtered) data, e.g. wpp.indicator.

Author(s)

Hana Sevcikova <hanas@uw.edu>, used code from a Joe Cheng's shiny example

Maintainer: Hana Sevcikova <hanas@uw.edu>

Source

Population and migration projections were produced using the Azose et al. (2016) methodology. All historical estimates as well as projections of fertility and mortality are from the World Population Prospects 2015, the United Nations, Department of Economic and Social Affairs, Population Division.

References

Azose, J.J., Sevcikova, H., Raftery, A.E. (2016): Probabilistic population projections with migration uncertainty. Proceedings of the National Academy of Sciences, 113:6460-6465. http://www.pnas.org/content/113/23/6460.full

World Population Prospects: The 2015 Revision. (http://esa.un.org/unpd/wpp) Special Tabulations.

A. E. Raftery, N. Li, H. Sevcikova , P. Gerland, G. K. Heilig (2012). Bayesian probabilistic population projections for all countries. Proceedings of the National Academy of Sciences 109:13915-13921.

P. Gerland, A. E. Raftery, H. Sevcikova, N. Li, D. Gu, T. Spoorenberg, L. Alkema, B. K. Fosdick, J. L. Chunn, N. Lalic, G. Bay, T. Buettner, G. K. Heilig, J. Wilmoth (2014). World Population Stabilization Unlikely This Century. Science 346:234-237.

See Also

wpp2015BayesMig, shiny, wpp.explore, wpp.indicator


PPgp/wppExplorerBayesMig documentation built on May 7, 2019, 11:52 p.m.