wheat: World wheat production, CO2 emissions, and temperature...

In dLagM: Time Series Regression Models with Distributed Lag Models

World wheat production, CO2 emissions, and temperature anomalies data

Description

This data set is composed of annual world total CO2 emissions, wheat production, harvested area, wheat production per hectare, and annual average temperature anomalies series between 1960 and 2017.

Usage

data(wheat)

Format

Multiple time series

CO2..ppm. column shows the global mean annual concentration of carbon dioxide (CO2) measured in parts per million (ppm).

CO2..tons column shows the global mean annual carbon dioxide (CO2) emissions measured in tons.

HarvestedArea..million.ha. column shows the annual harvested area in the world scale in million hectare.

Production..Mt. column shows the annual world wheat production in million tons.

ProducationPerArea column shows the annual wheat production per hectare in tons.

TempAnomaly..C.degrees. column shows the land-ocean temperature index without smoothing.

Source

Australian Government Department of Agriculture and Water Services, ABARES CO2 and other Greenhouse Gas Emissions by Hannah Ritchie and Max Roser

References

https://www.agriculture.gov.au/abares/research-topics/agricultural-commodities/agricultural-commodities-trade-data#australian-crop-report-data

https://www.agriculture.gov.au/abares/research-topics/agricultural-outlook/data

https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions#annual-co2-emissions

https://climate.nasa.gov/vital-signs/global-temperature/

Examples

data(wheat)
wheatProduction.ts = ts(wheat[,4], start = 1960)
plot(wheatProduction.ts, main="Time series plot 
of world wheat production series.")

dLagM documentation built on Oct. 2, 2023, 9:07 a.m.