meltt (version 0.4.3)

meltt-package: meltt: Matching Event Data by Location, Time, and Type

Description

meltt is a framework for merging and disambiguating event data based on spatiotemporal co-occurrence and secondary event characteristics. It can account for intrinsic "fuzziness" in the coding of events, varying event taxonomies and different geo-precision codes.

Author

Karsten Donnay and Eric Dunford

Details

The meltt function iteratively matches multiple datasets by isolating proximate events based on a user-specified spatio-temporal window to determine co-occurrence. It then assesses potential matches by leveraging secondary event characteristics formalized as user-specified input taxonomies.

References

Karsten Donnay, Eric T. Dunford, Erin C. McGrath, David Backer, David E. Cunningham. (2018). "Integrating Conflict Event Data." Journal of Conflict Resolution.

See Also

meltt, meltt_data, meltt_duplicates, meltt_inspect, tplot, mplot

Examples

# \donttest{
data(crashMD)
output = meltt(crash_data1, crash_data2, crash_data3,
                taxonomies = crash_taxonomies, twindow = 1, spatwindow = 3)
plot(output)
tplot(output, time_unit = 'days')
# }