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.
1 2 3 4 5 6
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.