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Assign Gleditsch-Ward Country Codes to PRIO-GRID Cells

Source: R/data_cshapes.R
cshapes_gwcode.Rd

Determines the dominant country in each PRIO-GRID cell using CShapes 2.0 boundary data and assigns the corresponding Gleditsch-Ward country code. For cells containing multiple countries, the country with the largest area coverage is assigned, with ties broken by selecting the lowest country code.

Usage

cshapes_gwcode(measurement_date, cshp = read_cshapes())

Arguments

measurement_date

A single Date object specifying the date for country assignment. Must be within the temporal range of the CShapes dataset.

cshp

An sf object containing CShapes 2.0 boundary data with Gleditsch-Ward country codes. Defaults to read_cshapes() if not provided.

Value

A SpatRaster object

Note

  • Small countries or territories may not appear if they don't dominate any grid cells

  • The function includes an assertion check to verify all countries are represented

  • Future versions may include provisions for minority country representation

References

Schvitz G, Girardin L, Rüegger S, Weidmann NB, Cederman L, Gleditsch KS (2022). “Mapping the International System, 1886-2019: The CShapes 2.0 Dataset.” Journal of Conflict Resolution, 66(1), 144–161. ISSN 0022-0027, doi:10.1177/00220027211013563 , 2024-11-22.

Examples

if (FALSE) { # \dontrun{
# Assign country codes for 2010
country_codes_2010 <- cshapes_gwcode(as.Date("2010-01-01"))

print(country_codes_2010)
} # }