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Noah Sager
Graduate Student
Department of Geography
Chicago State University




                                       19 April 2012
                                 Champaign, Illinois
                           ILGISA Spring Conference
   Crime Time
     Summer – (Block 1984, Field 1992, Hipp et. al. 2004)
     Winter - (Koppen & Jansen 1999)
     Lunar - (Biermann et. al. 2009)
     Menstruation - (Dalton 1961)


   Crime Place
     Gentrification - (Papachristos et. al. 2011)
     Hotspots - (Block & Block 1995, Ratcliffe 2004)
   Crime Studies Don’t Pay
     Temporal Specificity/Generalizations
     Crime Specificity


   Precision: the Missing Link
     Different Temporal Specificity
     Crime Generalizations
   All Crimes – One Year
     Data too large
     Conclusions too weak
   All Crimes – One Year
     Data too large
     Conclusions too weak


   All Homicides – Ten Years
     Total/Monthly/Daily
     Time Animation (ArcGIS)
     One-way ANOVA (SPSS)
   All Crimes – One Year
     Data too large
     Conclusions too weak


   All Homicides – Ten Years
     Total/Monthly/Daily
     One-way ANOVA (SPSS)
     Time Animation (ArcGIS)
Total Crimes   January = 31.1
311

Average
31.1

Rank
11th
Total Crimes    January = 31.1
256            February = 25.6

Average
25.6

Rank
12th
Total Crimes    January = 31.1
370            February = 25.6
                 March = 37.0
Average
37.0

Rank
10th
Total Crimes    January = 31.1
431            February = 25.6
                 March = 37.0
Average            April = 43.1
43.1

Rank
7th
Total Crimes    January = 31.1
441            February = 25.6
                 March = 37.0
Average            April = 43.1
44.1               May = 44.1

Rank
6th
Total Crimes    January = 31.1
567            February = 25.6
                 March = 37.0
Average            April = 43.1
56.7               May = 44.1
                   June = 56.7
Rank
2nd
Total Crimes    January = 31.1
597            February = 25.6
                 March = 37.0
Average            April = 43.1
59.7               May = 44.1
                   June = 56.7
Rank                July = 59.7
1st
Total Crimes    January = 31.1
521            February = 25.6
                  March = 37.0
Average            April = 43.1
52.1               May = 44.1
                   June = 56.7
Rank                July = 59.7
3rd              August = 52.1
Total Crimes      January = 31.1
489              February = 25.6
                    March = 37.0
Average              April = 43.1
48.9                 May = 44.1
                     June = 56.7
Rank                  July = 59.7
4th                August = 52.1
               September = 48.9
Total Crimes      January = 31.1
458              February = 25.6
                    March = 37.0
Average              April = 43.1
45.8                 May = 44.1
                     June = 56.7
Rank                  July = 59.7
5th                August = 52.1
               September = 48.9
                  October = 45.8
Total Crimes      January = 31.1
397              February = 25.6
                    March = 37.0
Average              April = 43.1
39.7                 May = 44.1
                     June = 56.7
Rank                  July = 59.7
8th                August = 52.1
               September = 48.9
                  October = 45.8
                November = 39.7
Total Crimes      January = 31.1
380              February = 25.6
                    March = 37.0
Average              April = 43.1
38.0                 May = 44.1
                     June = 56.7
Rank                  July = 59.7
9th                August = 52.1
               September = 48.9
                  October = 45.8
                November = 39.7
                December = 38.0
January = 31.1
  February = 25.6
     March = 37.0
      April = 43.1
      May = 44.1
      June = 56.7
       July = 59.7
    August = 52.1
September = 48.9
   October = 45.8
 November = 39.7
 December = 38.0
30 Days        January = 31.1
September     February = 25.6
April            March = 37.0
November          April = 43.1
June              May = 44.1
                  June = 56.7
28.2 Days          July = 59.7
February        August = 52.1
            September = 48.9
               October = 45.8
             November = 39.7
             December = 38.0
Daily Average       Monthly Average
January = 1.00        January = 31.1
February = 0.91      February = 25.6
March = 1.19            March = 37.0
April = 1.44             April = 43.1
May = 1.42               May = 44.1
June = 1.89              June = 56.7
July = 1.93               July = 59.7
August = 1.68          August = 52.1
September = 1.63   September = 48.9
October = 1.48        October = 45.8
November = 1.32     November = 39.7
December = 1.23     December = 38.0
   All Crimes – One Year
     Data too large
     Conclusions too weak


   All Homicides – Ten Years
     Total/Monthly/Daily
     One-way ANOVA (SPSS)
     Time Animation (ArcGIS)
Homicides (Average 2001-2010)



            70

            60

            50
Homicides




            40
                                                 Homicides (Average 2001-2010)
            30

            20

            10

            0




                  Months
   January     < June, July, August, September
   February    < April, May, June, July, August, September, October
   March       < July
   April       > February (and) < July
   May         > February
   June        > January, February
   July        > January, February, March, April, November, December
   August      > January, February
   September   > January, February
   October     > February
   November    < July
   December    < July
                                                              Significant: p < 0.05
   All Crimes – One Year
     Data too large
     Conclusions too weak


   All Homicides – Ten Years
     Total/Monthly/Daily
     One-way ANOVA (SPSS)
     Time Animation (ArcGIS)
View to a Crime: A GIS Approach to Homicides Over Time in Chicago
   Criminal Intent
     High and Low months/seasons
     Significant differences


   Future Studies
     Expansion of crime types, crime times
     Increased analysis
     Framework for GIS Applications
   More Crime, More Better
     Homicide, Arson, Gambling
      ▪ Assault, Burglary, Robbery


   More Time, More Better
     Crime by Days
      ▪ Individual days, weekday days v. weekend days
     Crime by Time
      ▪ Four 6 hour periods, individual hours
Hourly Total         Hourly Total

12am-1am:      349
Hourly Total    Hourly Total

12am-1am: 349
1am-2am: 344
Hourly Total    Hourly Total

12am-1am: 349
1am-2am: 344
2am-3am: 324
Hourly Total    Hourly Total

12am-1am: 349
1am-2am: 344
2am-3am: 324
3am-4am: 257
Hourly Total         Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
Hourly Total          Hourly Total

12am-1am:      349
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm: 138
1am-2am:       344
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm: 138
1am-2am:       344     1pm-2pm: 134
2am-3am:       324
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117z
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm: 138
1am-2am:       344     1pm-2pm: 134
2am-3am:       324     2pm-3pm: 163
3am-4am:       257
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178    5pm-6pm:   175
6am-7am:       160
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178    5pm-6pm:   175
6am-7am:       160     6pm-7pm:   242
7am-8am:       86
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178    5pm-6pm:   175
6am-7am:       160     6pm-7pm:   242
7am-8am:       86      7pm-8pm:   181
8am-9am:       114
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178    5pm-6pm:   175
6am-7am:       160     6pm-7pm:   242
7am-8am:       86      7pm-8pm:   181
8am-9am:       114     8pm-9pm:   237
9am-10am:      134
10am-11am:     121
11am-12pm:     117
Hourly Total             Hourly Total

12am-1am:      349    12pm-1pm:   138
1am-2am:       344     1pm-2pm:   134
2am-3am:       324     2pm-3pm:   163
3am-4am:       257     3pm-4pm:   165
4am-5am:       229     4pm-5pm:   195
5am-6am:        178    5pm-6pm:   175
6am-7am:       160     6pm-7pm:   242
7am-8am:       86      7pm-8pm:   181
8am-9am:       114     8pm-9pm:   237
9am-10am:      134    9pm-10pm:   283
10am-11am:     121
11am-12pm:     117
Hourly Total              Hourly Total

12am-1am:      349     12pm-1pm:   138
1am-2am:       344      1pm-2pm:   134
2am-3am:       324      2pm-3pm:   163
3am-4am:       257      3pm-4pm:   165
4am-5am:       229      4pm-5pm:   195
5am-6am:        178     5pm-6pm:   175
6am-7am:       160      6pm-7pm:   242
7am-8am:       86       7pm-8pm:   181
8am-9am:       114      8pm-9pm:   237
9am-10am:      134     9pm-10pm:   283
10am-11am:     121    10pm-11pm:   290
11am-12pm:     117
Hourly Total              Hourly Total

12am-1am:      349     12pm-1pm:   138
1am-2am:       344      1pm-2pm:   134
2am-3am:       324      2pm-3pm:   163
3am-4am:       257      3pm-4pm:   165
4am-5am:       229      4pm-5pm:   195
5am-6am:        178     5pm-6pm:   175
6am-7am:       160      6pm-7pm:   242
7am-8am:       86       7pm-8pm:   181
8am-9am:       114      8pm-9pm:   237
9am-10am:      134     9pm-10pm:   283
10am-11am:     121    10pm-11pm:   290
11am-12pm:     117    11pm-12am:   323
Hourly Total              Hourly Total

12am-1am:      349     12pm-1pm:   138
1am-2am:       344      1pm-2pm:   134
2am-3am:       324      2pm-3pm:   163
3am-4am:       257      3pm-4pm:   165
4am-5am:       229      4pm-5pm:   195
5am-6am:        178     5pm-6pm:   175
6am-7am:       160      6pm-7pm:   242
7am-8am:       86       7pm-8pm:   181
8am-9am:       114      8pm-9pm:   237
9am-10am:      134     9pm-10pm:   283
10am-11am:     121    10pm-11pm:   290
11am-12pm:     117    11pm-12am:   323
Noah Sager
Graduate Student
Department of Geography
Chicago State University
nsager@csu.edu
www.noahsager.net




            Thank You!


                           Questions?


                                             19 April 2012
                                       Champaign, Illinois
                                 ILGISA Spring Conference

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View to a Crime: A GIS Approach to Homicides Over Time in Chicago

  • 1. Noah Sager Graduate Student Department of Geography Chicago State University 19 April 2012 Champaign, Illinois ILGISA Spring Conference
  • 2. Crime Time  Summer – (Block 1984, Field 1992, Hipp et. al. 2004)  Winter - (Koppen & Jansen 1999)  Lunar - (Biermann et. al. 2009)  Menstruation - (Dalton 1961)  Crime Place  Gentrification - (Papachristos et. al. 2011)  Hotspots - (Block & Block 1995, Ratcliffe 2004)
  • 3. Crime Studies Don’t Pay  Temporal Specificity/Generalizations  Crime Specificity  Precision: the Missing Link  Different Temporal Specificity  Crime Generalizations
  • 4. All Crimes – One Year  Data too large  Conclusions too weak
  • 5. All Crimes – One Year  Data too large  Conclusions too weak  All Homicides – Ten Years  Total/Monthly/Daily  Time Animation (ArcGIS)  One-way ANOVA (SPSS)
  • 6. All Crimes – One Year  Data too large  Conclusions too weak  All Homicides – Ten Years  Total/Monthly/Daily  One-way ANOVA (SPSS)  Time Animation (ArcGIS)
  • 7. Total Crimes January = 31.1 311 Average 31.1 Rank 11th
  • 8. Total Crimes January = 31.1 256 February = 25.6 Average 25.6 Rank 12th
  • 9. Total Crimes January = 31.1 370 February = 25.6 March = 37.0 Average 37.0 Rank 10th
  • 10. Total Crimes January = 31.1 431 February = 25.6 March = 37.0 Average April = 43.1 43.1 Rank 7th
  • 11. Total Crimes January = 31.1 441 February = 25.6 March = 37.0 Average April = 43.1 44.1 May = 44.1 Rank 6th
  • 12. Total Crimes January = 31.1 567 February = 25.6 March = 37.0 Average April = 43.1 56.7 May = 44.1 June = 56.7 Rank 2nd
  • 13. Total Crimes January = 31.1 597 February = 25.6 March = 37.0 Average April = 43.1 59.7 May = 44.1 June = 56.7 Rank July = 59.7 1st
  • 14. Total Crimes January = 31.1 521 February = 25.6 March = 37.0 Average April = 43.1 52.1 May = 44.1 June = 56.7 Rank July = 59.7 3rd August = 52.1
  • 15. Total Crimes January = 31.1 489 February = 25.6 March = 37.0 Average April = 43.1 48.9 May = 44.1 June = 56.7 Rank July = 59.7 4th August = 52.1 September = 48.9
  • 16. Total Crimes January = 31.1 458 February = 25.6 March = 37.0 Average April = 43.1 45.8 May = 44.1 June = 56.7 Rank July = 59.7 5th August = 52.1 September = 48.9 October = 45.8
  • 17. Total Crimes January = 31.1 397 February = 25.6 March = 37.0 Average April = 43.1 39.7 May = 44.1 June = 56.7 Rank July = 59.7 8th August = 52.1 September = 48.9 October = 45.8 November = 39.7
  • 18. Total Crimes January = 31.1 380 February = 25.6 March = 37.0 Average April = 43.1 38.0 May = 44.1 June = 56.7 Rank July = 59.7 9th August = 52.1 September = 48.9 October = 45.8 November = 39.7 December = 38.0
  • 19. January = 31.1 February = 25.6 March = 37.0 April = 43.1 May = 44.1 June = 56.7 July = 59.7 August = 52.1 September = 48.9 October = 45.8 November = 39.7 December = 38.0
  • 20. 30 Days January = 31.1 September February = 25.6 April March = 37.0 November April = 43.1 June May = 44.1 June = 56.7 28.2 Days July = 59.7 February August = 52.1 September = 48.9 October = 45.8 November = 39.7 December = 38.0
  • 21. Daily Average Monthly Average January = 1.00 January = 31.1 February = 0.91 February = 25.6 March = 1.19 March = 37.0 April = 1.44 April = 43.1 May = 1.42 May = 44.1 June = 1.89 June = 56.7 July = 1.93 July = 59.7 August = 1.68 August = 52.1 September = 1.63 September = 48.9 October = 1.48 October = 45.8 November = 1.32 November = 39.7 December = 1.23 December = 38.0
  • 22. All Crimes – One Year  Data too large  Conclusions too weak  All Homicides – Ten Years  Total/Monthly/Daily  One-way ANOVA (SPSS)  Time Animation (ArcGIS)
  • 23. Homicides (Average 2001-2010) 70 60 50 Homicides 40 Homicides (Average 2001-2010) 30 20 10 0 Months
  • 24. January < June, July, August, September  February < April, May, June, July, August, September, October  March < July  April > February (and) < July  May > February  June > January, February  July > January, February, March, April, November, December  August > January, February  September > January, February  October > February  November < July  December < July Significant: p < 0.05
  • 25. All Crimes – One Year  Data too large  Conclusions too weak  All Homicides – Ten Years  Total/Monthly/Daily  One-way ANOVA (SPSS)  Time Animation (ArcGIS)
  • 27. Criminal Intent  High and Low months/seasons  Significant differences  Future Studies  Expansion of crime types, crime times  Increased analysis  Framework for GIS Applications
  • 28. More Crime, More Better  Homicide, Arson, Gambling ▪ Assault, Burglary, Robbery  More Time, More Better  Crime by Days ▪ Individual days, weekday days v. weekend days  Crime by Time ▪ Four 6 hour periods, individual hours
  • 29. Hourly Total Hourly Total 12am-1am: 349
  • 30. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344
  • 31. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324
  • 32. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257
  • 33. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229
  • 34. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178
  • 35. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160
  • 36. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86
  • 37. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114
  • 38. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134
  • 39. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121
  • 40. Hourly Total Hourly Total 12am-1am: 349 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 41. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 42. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117z
  • 43. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 44. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 45. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 46. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 47. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 48. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 49. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 8pm-9pm: 237 9am-10am: 134 10am-11am: 121 11am-12pm: 117
  • 50. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 8pm-9pm: 237 9am-10am: 134 9pm-10pm: 283 10am-11am: 121 11am-12pm: 117
  • 51. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 8pm-9pm: 237 9am-10am: 134 9pm-10pm: 283 10am-11am: 121 10pm-11pm: 290 11am-12pm: 117
  • 52. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 8pm-9pm: 237 9am-10am: 134 9pm-10pm: 283 10am-11am: 121 10pm-11pm: 290 11am-12pm: 117 11pm-12am: 323
  • 53. Hourly Total Hourly Total 12am-1am: 349 12pm-1pm: 138 1am-2am: 344 1pm-2pm: 134 2am-3am: 324 2pm-3pm: 163 3am-4am: 257 3pm-4pm: 165 4am-5am: 229 4pm-5pm: 195 5am-6am: 178 5pm-6pm: 175 6am-7am: 160 6pm-7pm: 242 7am-8am: 86 7pm-8pm: 181 8am-9am: 114 8pm-9pm: 237 9am-10am: 134 9pm-10pm: 283 10am-11am: 121 10pm-11pm: 290 11am-12pm: 117 11pm-12am: 323
  • 54. Noah Sager Graduate Student Department of Geography Chicago State University nsager@csu.edu www.noahsager.net Thank You! Questions? 19 April 2012 Champaign, Illinois ILGISA Spring Conference