Collaborative Research: Accounting for geolocation error in point pattern analysis — NSF Award to OHIO STATE UNIVERSITY, THE (OH,
Researchers in the social sciences increasingly utilize event data sets when studying crime, protests, and terrorism. These data sets provide information on each incident, including where it occurred, who was involved, what the consequences were, etc. Unfortunately, the recorded location of incidents in these data sets
| Award title | Collaborative Research: Accounting for geolocation error in point pattern analysis |
|---|---|
| Award ID | 2611521 |
| Awardee | OHIO STATE UNIVERSITY, THE |
| City | COLUMBUS |
| State | OH |
| Amount obligated | $34,625 |
| Principal investigator | Scott Cook |
| Program | STATISTICS |
| Start date | 03/15/2026 |
| Abstract | Researchers in the social sciences increasingly utilize event data sets when studying crime, protests, and terrorism. These data sets provide information on each incident, including where it occurred, who was involved, what the consequences were, etc. Unfortunately, the recorded location of incidents in these data sets are often inaccurate, due to limitations in the available information from which they are drawn (ex. incomplete media reports). Left unaddressed, these geolocation errors impair o |
| Source | NSF Awards |
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