The power of the geographic approach to intelligence analysis is in discovering underlying patterns and characteristics of clustered incidents. Most datasets represent a "snap shot" of incident activity - a simple count of the number of incidents between two given dates. Through Time Span Analysis, or aoristic analysis, we can calculate the probability that an event occurred at a location within given temporal parameters and assign this temporal probability weight to the incident.
Time Span Analysis is the most accurate way to perform day-of-week and hour-of-day analysis for incidents that occurred within a known time span, but where the exact time of some events is unknown. It works because, instead of assigning an incident to one day or one hour, an incident is distributed proportionally across all appropriate and possible time intervals.
Analysts can useTime Span Analysis to better understand temporal patterns in high volume incidents in order to plan patrols and prevention strategies. Applications include temporal IED emplacement analysis, burglary or theft analysis, intelligence preparation for route identification, situational awareness, mission planning, war gaming, and other multi-source analysis.
Time Span Analysis requires specific technical experience and software. Minimum system requirements for the ArcGIS Platform can be found on the Support website.
Time Span Analysis
When you download Time Span Analysis, you will find the following:
|TimeSpanAnalysis.zip||ArcGIS Maps For Office||Folder containing TimeSpanAnalysis.xlsx which has sample data and formulas for the solution.|
|Resources||Supporting files for Time Span Analysis|
Below are the releases and notes for Time Span Analysis. If you need support, please contact Esri Support Services. If you'd like to get help from other defense community members, post your question on GeoNet.