GetGDELTStability: Download data from the GDELT Stability Dashboard API to...

In GDELTtools: Download, Slice, and Normalize GDELT V1 Event and Sentiment API Data

Download data from the GDELT Stability Dashboard API to memory

Description

Download data from the GDELT Stability Dashboard API to memory

Usage

GetGDELTStability(
  location,
  var_to_get = c("instabiliity", "conflict", "protest", "tone", "artvolnorm"),
  time_resolution = c("day", "15min"),
  smoothing = 1,
  num_days = ifelse(time_resolution == "day", 180, 7),
  multi_ADM1 = FALSE
)

Arguments

location	character, two-digit country code or four-digit ADM1 code (see below).
var_to_get	character, variable to download (see below).
time_resolution	character, either "day" or "15min".
smoothing	numeric, integer number of time_resolution periods to smooth over.
num_days	numeric, number of days of data to download.
multi_ADM1	logical, if TRUE then var_to_get will be downloaded for all ADM1 codes in the country (specified in location).

Value

data.frame

location

This is a single location code, either from http://data.gdeltproject.org/blog/stability-dashboard-api/GEOLOOKUP-COUNTRY.TXT or http://data.gdeltproject.org/blog/stability-dashboard-api/GEOLOOKUP-ADM1.TXT

var_to_get

One of:

- "instability": This display a simple synthetic "instability" measure for a country offering a very basic, but insightful, view of the current level of conflict and instability involving it. Currently it is calculated by summing the total number of QuadClass=MaterialConflict and EventRootCode=14(Protest) events together and dividing by the total number of all events worldwide monitored by GDELT in the same time period. This yields a normalized view of instability.

- "conflict": Same as above, but only includes QuadClass=MaterialConflict, ignoring protest events.

- "protest": Same as above, but only includes EventRootCode=14, assessing only protest activity, but excluding all other kinds of conflict.

- "tone": Average Standard GDELT Tone of all articles mentioning the location at least twice in the article within the given timeframe. This uses a very basic filter of requiring that an article mention the location at least twice anywhere in the article body, and assesses tone at the article level. Currently only the Standard GDELT Tone emotion is available, but in the future we hope to integrate the entire array of GCAM emotions. This variable can be especially insightful to spotting deteriorating situations where coverage of a country or area is turning increasingly negative, even if physical unrest has ceased or not yet begun.

- "artvolnorm": This tallies the total number of articles mentioning the location at least twice anywhere in the article, divided by the total number of articles monitored by GDELT in the given timeframe, offering a normalized view of attention being paid to the location regardless of any physical unrest or other activity occurring there. This variable offers a useful measure of changes in overall global "attention" being paid to a given location.

Author(s)

Stephen R. Haptonstahl	[e-mail]

References

GDELT Stability Dashboard API https://blog.gdeltproject.org/announcing-the-gdelt-stability-dashboard-api-stability-timeline/

Examples

## Not run: 
ex1 <- GetGDELTStability(location="FR", 
                         var_to_get="tone", 
                         time_resolution="day", 
                         smoothing=1, 
                         num_days=10)

ex2 <- GetGDELTStability(location="IS", 
                         var_to_get="protest", 
                         time_resolution="15min", 
                         smoothing=3, 
                         num_days=1)

ex3 <- GetGDELTStability(location="AR", 
                         var_to_get="conflict", 
                         time_resolution="day", 
                         smoothing=1, 
                         num_days=10, 
                         multi_ADM1=TRUE)
## End(Not run)
                          

GDELTtools documentation built on Sept. 29, 2023, 9:07 a.m.