crime concentration index

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Using Census Block Groups & Robberies STEP 1: DISPLAY THE MAP LAYERS
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: Robbery in Roanoke: Concentration b
Page 43 and 44: Changing the Field Name • The Joi
Page 45 and 46: Then delete “Count_” field
Page 47 and 48: With the new field added… • …
Page 49 and 50: The Field Calculator
Page 51 and 52: Select by Attributes: All CCIs > 1
Page 53 and 54: ± 0 1 2 4 Miles Robbery Concentrat
Page 55 and 56: A application with a different deno
Page 57 and 58: 14 2 6 8 12 4 10 5 0 7 11 1 9 13 ±
Page 59 and 60: The Concentration Index CCI (Comm.
Page 61 and 62: The Results • Four districts have
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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crime concentration index

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