crime concentration index

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1.663018 1.465418 1.297896 0.519309 1.186008 0.859856 0.655128 ± Commercial Robberies 0 1 2 4 Miles
Page 1 and 2:
Using Crime Concentration Indices i
Page 3 and 4:
The map is not the territory. -Alfr
Page 5 and 6:
Our Fair City
Page 7:
± 0 1 2 4 Miles
Page 10 and 11:
Crime Count Example LAX Inglewood-L
Page 12 and 13: Display as Graduated Colors ± Homi
Page 14 and 15: Selection: 184 Tracts Area in Sq Mi
Page 16 and 17: Illustration Dark & Bram, 2007
Page 18 and 19: Crime rates standardize crime count
Page 20 and 21: Crime rate Crime Rates Count of cri
Page 22 and 23: In ArcGIS, create a new Field • S
Page 25 and 26: Using the Field Calculator • This
Page 27 and 28: This is the LAX Tank Farm & support
Page 29 and 30: The Location Quotient • Location
Page 31 and 32: Unemployment Example LQ UE 12 local
Page 33 and 34: Crime Concentration Index • Both
Page 35 and 36: The original reference Brantingham,
Page 37 and 38: Robbery in Roanoke: Concentration b
Page 40: Use a spatial join to create a Coun
Page 44 and 45: Populate the new field…
Page 46 and 47: Add a new field for the CCI • We
Page 48 and 49: The Formula: CCI Robbery C C BG BG
Page 50 and 51: The Sorted CCIs
Page 52 and 53: Interpretation • The two highest
Page 54 and 55: ± 0 1 2 4 Miles Robbery Concentrat
Page 56 and 57: The Problem • The Commander of th
Page 58 and 59: The Process • First, develop a la
Page 60 and 61: The Field Calculator
Page 64 and 65: Using CCIs to Facilitate Crime Prev
Page 66 and 67: ± 0 1 2 4 Miles
Page 68 and 69: The Neighborhoods with Robbery Coun
Page 70 and 71: The Field Calculator
Page 72 and 73: ± 0 1 2 4 Miles
Page 74 and 75: ± 0 1 2 4 Miles
Page 76 and 77: Shenandoah & Westwood TROUTLAND ROS
Page 78 and 79: Interpretation • Based on this an
Page 80 and 81: The Problem • The commander of th
Page 82 and 83: Salem Tpke between 24 th & 30th •
Page 84 and 85: The Results CCI (Robberies close to
Page 86 and 87: PALM MELROSE FOREST PARK OLIVE LAFA
Page 88: To summarize • The CCI is a good
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