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.
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.
Karsten Donnay and Eric Dunford
Karsten Donnay, Eric T. Dunford, Erin C. McGrath, David Backer, David E. Cunningham. (2018). "Integrating Conflict Event Data." Journal of Conflict Resolution.
data(crashMD) output = meltt(crash_data1, crash_data2, crash_data3, taxonomies = crash_taxonomies, twindow = 1, spatwindow = 3) plot(output) tplot(output, time_unit = 'days')
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