Time Span Analysis David Attaway Time Span Analysis

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Time Span Analysis David Attaway

Time Span Analysis David Attaway

Time Span Analysis Also known as Aoristic Analysis…

Time Span Analysis Also known as Aoristic Analysis…

What is Aoristic? 1840 -50 Aorist… a + horistos “not” indefinite “limited/defined” indeterminate “without

What is Aoristic? 1840 -50 Aorist… a + horistos “not” indefinite “limited/defined” indeterminate “without defined occurrence in time” Esri User Conference 2015 - Demo Theater: Time Span Analysis Dr. Jerry Ratcliffe, Temple University

Temporal Analysis! Probability Analysis? Spatial Temporal Analysis? Space Time Analysis! Esri User Conference 2015

Temporal Analysis! Probability Analysis? Spatial Temporal Analysis? Space Time Analysis! Esri User Conference 2015 - Demo Theater: Time Span Analysis Aoristic? Weighted Analysis?

To help with the confusion: Phewww Aoristic Time Span Analysis Yeaaa! Esri User Conference

To help with the confusion: Phewww Aoristic Time Span Analysis Yeaaa! Esri User Conference 2015 - Demo Theater: Time Span Analysis Thank God!

Formulas…. Data Entry with cell formatting: ddd m/d/yy h: mm AM/PM Hour End: =IF(MINUTE(F

Formulas…. Data Entry with cell formatting: ddd m/d/yy h: mm AM/PM Hour End: =IF(MINUTE(F 2)<10, HOUR(F 2)+1) First Day’s Probability: =(ROUNDDOWN(A 2+1, 0)-A 2)/(B 2 -A 2) Simplified Day’s Between First and Last Day: the Process =(B 2 -A 2)-(ROUNDDOWN(A 2+1, 0)-A 2)-(B 2 -ROUNDDOWN(B 2, 0)) (Now in a Template) Weight: =MIN(1, 1/O 2) Days: =((M 4)-(L 4)) Hour Start: =HOUR(E 2) Day of week start: =TEXT(L 2, "ddd") Last Day’s Probability: =(B 2 -ROUNDDOWN(B 2, 0))/(B 2 -A 2) Weight per hour: =IF($K 2>=$J 2, IF(AND(Q$1>=$J 2, Q$1<=$K 2), $P 2, 0), IF(OR(Q$1<=$K 2, Q$1>=$J 2), $P 2, 0)) Esri User Conference 2015 - Demo Theater: Time Span Analysis

Park my car: April 12 th, 2014 8: 00 am Total of 8 Hours

Park my car: April 12 th, 2014 8: 00 am Total of 8 Hours unattended… datetimestart datetimeend days hours weight 8/12/2014 8: 00 AM 8/12/2014 4: 00 PM 0. 33 Probability! Esri User Conference 2015 - Demo Theater: Time Span Analysis Notice my car is stolen April 12 th, 2014 4: 00 pm 8 0. 13 Weight!

Calculates the probability that an incident occurred at a location: Burglary 1: 1/1/2014 12:

Calculates the probability that an incident occurred at a location: Burglary 1: 1/1/2014 12: 00 AM to 1/2/2014 12: 00 AM Burglary 3: 1/1/2014 12: 00 AM to 1/1/2014 12: 00 PM Esri User Conference 2015 - Demo Theater: Time Span Analysis ***INCIDENT*** Burglary 2: 1/1/2014 6: 00 AM to 1/1/2014 6: 00 PM Burglary 4: 1/1/2014 3: 00 PM to 1/1/2014 4: 00 PM

Burglary 1: 4: 3: 2: 1/1/201412: 00 AM 12: 00 PM 6: 00 AM

Burglary 1: 4: 3: 2: 1/1/201412: 00 AM 12: 00 PM 6: 00 AM 3: 00 PM to 1/2/2014 1/1/201412: 00 AM 4: 00 PM 6: 00 PM Analysis POWER comes w/ many points for analysis!!! Totalofof 12 1 Hoursunattended… datetimestart datetimeend days hours weight 1/1/2014 12: 00 AM 1/1/2014 12: 00 PM 0. 5 12 0. 08 1/1/2014 6: 00 AM 1/1/2014 6: 00 PM 0. 5 12 0. 08 1/1/2014 12: 00 PM 1/2/2014 12: 00 AM 0. 5 12 0. 08 1/1/2014 3: 00 PM 1/1/2014 4: 00 PM 0. 04 1 1. 0 Weight! Probability! Esri User Conference 2015 - Demo Theater: Time Span Analysis

Gives you…. Search Blocks of Equal Duration 12: 00 AM Burglary 1 Probability Esri

Gives you…. Search Blocks of Equal Duration 12: 00 AM Burglary 1 Probability Esri User Conference 2015 - Demo Theater: Time Span Analysis 12: 00 AM 2 3 4 . 25 . 50 Burglary 4 Aoristic Sum 6: 00 PM 1 Burglary 2 Burglary 3 12: 00 PM 6: 00 AM 1. 0. 75 1. 25 1. 75 . 25 18% 31% 43% 6%

Probability and Weight Esri User Conference 2015 - Demo Theater: Time Span Analysis

Probability and Weight Esri User Conference 2015 - Demo Theater: Time Span Analysis

Demo David Attaway

Demo David Attaway

Crime Incidents – Southern California (All Types) Map Pin Map of last 3 months

Crime Incidents – Southern California (All Types) Map Pin Map of last 3 months Symbolized by type UNCLASSIFIED//DEMO USE ONLY

Burglary Thefts Time Reported - Southern California Distribution of Residential burglary The times are

Burglary Thefts Time Reported - Southern California Distribution of Residential burglary The times are divided into: • Morning*, • Afternoon*, • Evening*, • and Night* (four 6 -hr intervals). *(The times of day represent the time in which the Map OHS Auto Thefts Morning (06 -12) Morning Map OHS Auto Thefts Afternoon (12 -18) Afternoon vehicle theft was discovered) Residential burglary reporting is highest in the Afternoon (12001800). Map OHS Auto Thefts Night (00 -06) Evening UNCLASSIFIED//DEMO USE ONLY Night

Time Span Analysis Residential Burglary The greatest probability of times when the residential burglaries:

Time Span Analysis Residential Burglary The greatest probability of times when the residential burglaries: • Between 12 – 1 pm (1200 – 1300) and • 5 pm – 6 pm (1700 – 1800). UNCLASSIFIED//DEMO USE ONLY

Want to learn more? • Documentation - Perform Time Span Analysis: http: //solutions. arcgis.

Want to learn more? • Documentation - Perform Time Span Analysis: http: //solutions. arcgis. com/intelligence/exploitation-analysis/ - Link near the bottom of page – “Perform Time Span Analysis” - • Related Esri Training and Tutorials - Time Span Analysis Template - Additional Location to download: - Time. Span. Analysis_1_0_0_for_Arc. GIS 10_2. zip Get more information on Time Span Analysis…