Download and process Historical Real GDP and Electricity Consumption

This function downloads, processes, and extracts variables from the global 1km gridded revised real gross domestic product and electricity consumption dataset (1992–2019).

Usage

gdppast(x, vars, year, ...)

Arguments

x: The output from `par_set()` defining the area or locations for extraction, the reference system, and the buffer. Leave this empty and use `par_set()` to define parameters for download.
vars: Character vector of variables to download ("gdp" or "electricity").
year: Numeric vector of years to download. Available range: 1992-2019.
...: Additional arguments (currently unused).

Value

If `par_set()` contained a raster/polygon/points with buffer: a `SpatRaster` stack of processed variables. If `par_set()` contained spatial points or data.frame of points without buffer: a `data.frame` of x, y, and extracted values.

Details

Available variables (working synonyms in parentheses):

Economic Metrics

"gdp" ("gross domestic product", "real gdp", "economy", "economic output", "gross product")

Energy Metrics

"electricity" ("electricity consumption", "energy", "energy consumption", "power", "ec", "electric")

Years available

1992 to 2019.

Citation:
Chen J, Gao M, Cheng S et al (2022). "Global 1 km x 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data." Scientific Data 9, 202. https://doi.org/10.1038/s41597-022-01322-5

Note: Please cite original sources of primary datasets where appropriate.

Examples

# \donttest{
# Get GDP for 2000 and 2010
processed <- par_set(country= "Italy", crs=3035) %>% 
  gdppast(vars="gdp", year=c(2000, 2010))

# Get Electricity and GDP for 2019
processed <- par_set(country= "Vietnam") %>% 
  gdppast(vars=c("electricity", "gdp"), year=2019)
# }