crime concentration index

More documents

Recommendations

Info

Salem Tpke between 24 th & 30th • First, identify the street segment(s) of interest – It may be necessary to form a single segment with the Dissolve tool • Do a spatial join, joining the robberies (points) to the street segment (lines) – Select the “closest to it” option • Compute the linear CCI
The Results CCI (Robberies close to segment Segment length) (All Robberies Total network length) CCI (22 0.47 miles) (907 610 miles) 31.4
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 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 and 80: An application to a linear analysis
Page 81: PALM MELROSE FOREST PARK OLIVE LAFA
Page 85 and 86: The Results • But, to be realisti
Page 87 and 88: The Alternative • Using a 755-foo
show all

crime concentration index

Create successful ePaper yourself

Delete template?

Save as template?