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add_ucdp_acd() allows you to add UCDP Armed Conflict data to a state-year data frame

Usage

add_ucdp_acd(data, type, issue, only_wars = FALSE)

Arguments

data

state-year data frame

type

the types of armed conflicts the user wants to consider, specified as a character vector. Options include "extrasystemic", "interstate", "intrastate", and "II". "II" is convenience shorthand for "internationalized intrastate". If you want just one (say: "intrastate"), then the type you want in quotes is sufficient. If you want multiple, wrap it in a vector with c().

issue

do you want to subset the data to just different armed conflicts over different types of issues? If so, specify those here as you would with the type argument. Options include "territory", "government", and "both".

only_wars

subsets the conflict data to just those with intensity levels of "war" (i.e. >1,000 deaths). Defaults to FALSE.

Value

add_ucdp_acd() takes a state-year data frame and returns state-year information from the UCDP Armed Conflict data set (v. 20.1). The variables returned are whether there is an ongoing armed conflict in that year, whether there was an armed conflict episode onset that year, what was the maximum intensity observed that year (if an armed conflict was observed), and a character vector of the associated conflict IDs that year.

Details

Right now, only state-year data are supported. Function is in true pilot mode.

References

Gleditsch, Nils Petter; Peter Wallensteen, Mikael Eriksson, Margareta Sollenberg & Havard Strand (2002) Armed Conflict 1946–2001: A New Dataset. Journal of Peace Research 39(5): 615–637.

Pettersson, Therese; Stina Hogbladh & Magnus Oberg (2019). Organized violence, 1989-2018 and peace agreements. Journal of Peace Research 56(4): 589-603.

Author

Steven V. Miller

Examples



# just call `library(tidyverse)` at the top of the your script
library(magrittr)
library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union

create_stateyears(system = "gw") %>%
filter(between(year, 1946, 2019)) %>%
add_ucdp_acd()
#> Joining, by = c("gwcode", "year")
#> # A tibble: 10,490 × 7
#>    gwcode statename         year ucdpongoing ucdponset maxintensity conflict_ids
#>     <dbl> <chr>            <dbl>       <dbl>     <dbl>        <dbl> <chr>       
#>  1      2 United States o…  1946           0         0           NA NA          
#>  2      2 United States o…  1947           0         0           NA NA          
#>  3      2 United States o…  1948           0         0           NA NA          
#>  4      2 United States o…  1949           0         0           NA NA          
#>  5      2 United States o…  1950           1         1            1 238         
#>  6      2 United States o…  1951           0         0           NA NA          
#>  7      2 United States o…  1952           0         0           NA NA          
#>  8      2 United States o…  1953           0         0           NA NA          
#>  9      2 United States o…  1954           0         0           NA NA          
#> 10      2 United States o…  1955           0         0           NA NA          
#> # … with 10,480 more rows

create_stateyears(system = "gw") %>%
filter(between(year, 1946, 2019)) %>%
add_ucdp_acd(type = "intrastate", issue = "government")
#> Joining, by = c("gwcode", "year")
#> # A tibble: 10,490 × 7
#>    gwcode statename         year ucdpongoing ucdponset maxintensity conflict_ids
#>     <dbl> <chr>            <dbl>       <dbl>     <dbl>        <dbl> <chr>       
#>  1      2 United States o…  1946           0         0           NA NA          
#>  2      2 United States o…  1947           0         0           NA NA          
#>  3      2 United States o…  1948           0         0           NA NA          
#>  4      2 United States o…  1949           0         0           NA NA          
#>  5      2 United States o…  1950           0         0           NA NA          
#>  6      2 United States o…  1951           0         0           NA NA          
#>  7      2 United States o…  1952           0         0           NA NA          
#>  8      2 United States o…  1953           0         0           NA NA          
#>  9      2 United States o…  1954           0         0           NA NA          
#> 10      2 United States o…  1955           0         0           NA NA          
#> # … with 10,480 more rows