kayadata-package: kayadata package
In gilligan-ees-3310/kayadata: Kaya Identity Data for Nations and Regions
kayadata-package R Documentation
kayadata package
Description
kayadata is a package for working with Kaya identity data for many countries
and regions.
The Kaya identity, named for the economist Yoichi Kaya, who introduced it
(Kaya, 1998); It decomposes the energy-related carbon dioxide emissions from
a nation, region, or the world into the product of four components:
F = P \times g \times e \times f,
where F is the total emissions, P is the population, g is the
per-capita GDP, e is the energy intensity of the economy, and
f is the emissions-intensity of the energy supply.
(Nakicenovic and Swart, 2000,
Ch. 3, p. 105;
Raupach et al, 2007)
The data in this packages covers 1960-2019 for population and GDP, and
1965-2019 for energy and fossil-fuel CO2 emissions.
The package uses data on population and GDP from the World Bank,
using market exchange rates (MER) for GDP because those data go back to
1960. From 1990 onward, Purchasing-Power-Parity (PPP) GDP figures are
available as G_ppp but using these would require re-calculating
G, g, e, and ef in the kaya_data
data frame.
The package uses data on energy consumption and fossil-fuel CO2 emissions
from the Energy Institute's
2023 Statistical Review of World Energy
License
The kayadata package is open source licensed under the
MIT License.
Bug reports
kayadata issue tracker (https://github.com/jonathan-g/kayadata/issues)
References
Kaya, Yoichi and Keiichi Yokobori, Environment, Energy, and Economy:
Strategies for Sustainability (United Nations University Press, 1998).
Nakicenovic, Nebojsa, and Rob Swart (Eds.),
Special Report on Emissions Scenarios
(Cambridge University Press, 2000).
https://www.ipcc.ch/report/emissions-scenarios/
Raupach, Michael R., et al., "Global and regional drivers of accelerating
CO2 emissions," PNAS 104, 10288–10293 (2007)
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1073/pnas.0700609104")}.
gilligan-ees-3310/kayadata documentation built on July 27, 2023, 5:44 a.m.
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| kayadata-package | R Documentation |
kayadata package
Description
kayadata is a package for working with Kaya identity data for many countries and regions.
The Kaya identity, named for the economist Yoichi Kaya, who introduced it (Kaya, 1998); It decomposes the energy-related carbon dioxide emissions from a nation, region, or the world into the product of four components:
F = P \times g \times e \times f,
where F is the total emissions, P is the population, g is the per-capita GDP, e is the energy intensity of the economy, and f is the emissions-intensity of the energy supply. (Nakicenovic and Swart, 2000, Ch. 3, p. 105; Raupach et al, 2007)
The data in this packages covers 1960-2019 for population and GDP, and 1965-2019 for energy and fossil-fuel CO2 emissions.
The package uses data on population and GDP from the World Bank,
using market exchange rates (MER) for GDP because those data go back to
1960. From 1990 onward, Purchasing-Power-Parity (PPP) GDP figures are
available as G_ppp but using these would require re-calculating
G, g, e, and ef in the kaya_data
data frame.
The package uses data on energy consumption and fossil-fuel CO2 emissions from the Energy Institute's 2023 Statistical Review of World Energy
License
The kayadata package is open source licensed under the MIT License.
Bug reports
kayadata issue tracker (https://github.com/jonathan-g/kayadata/issues)
References
Kaya, Yoichi and Keiichi Yokobori, Environment, Energy, and Economy: Strategies for Sustainability (United Nations University Press, 1998).
Nakicenovic, Nebojsa, and Rob Swart (Eds.), Special Report on Emissions Scenarios (Cambridge University Press, 2000). https://www.ipcc.ch/report/emissions-scenarios/
Raupach, Michael R., et al., "Global and regional drivers of accelerating CO2 emissions," PNAS 104, 10288–10293 (2007) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1073/pnas.0700609104")}.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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