crime concentration index

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The Problem • The commander of the north districts has identified a residential street segment that seems to have too many robberies • The questions is, are there more robberies along this segment than would be expected given the linear distribution of robbery in Roanoke?
PALM MELROSE FOREST PARK OLIVE LAFAYETTE STAUNTON MARYLAND CRESCENT HANOVER 25TH HANOVER 31ST ORANGE 30TH 29TH 24TH 23RD SALEM SALEM ESSEX 30TH KEATS GLENGARY MILTON NAHO SHENANDOAH DELTA CENTRE 24TH 24TH CENTRE LOUDON 22ND ± BAKER BAKER 27TH JOHNSON 25TH 0 0.05 0.1 0.2 Miles BAKER
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
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± 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 62: 1.663018 1.465418 1.297896 0.519309
Page 65 and 66: Neighborhood Organizations • Like
Page 67 and 68: Generating the Neighborhood CCI •
Page 69 and 70: The CCI Formula CCI ( Robbery AreaS
Page 71 and 72: The Results Only 10 out of the 41 a
Page 73 and 74: Drilling down for a micro-spatial a
Page 75 and 76: Getting started • Using the “Go
Page 77 and 78: Finish it up • Do a spatial join
Page 79: An application to a linear analysis
Page 83 and 84: The Results CCI (Robberies close to
Page 85 and 86: The Results • But, to be realisti
Page 87 and 88: The Alternative • Using a 755-foo
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