GIS 4048
HLS_DC Crime Mapping
Process Summary
Step 3
1)
Opened the preset WashingtonDC.mxd.
2)
Added police_stations, DCstreets and crime.
3)
Opened Multiple Ring Buffer and chose
police_stations as the input. Named the output as buffer. Chose .5,1,2 for
distances. Chose Miles for units and clicked OK.
4)
Added a new field in the Crime attribute table
and called it Event.
5)
Used field calculator to add 1 value to the
Event field.
6)
Opened Joins and Relates>Join. Selected Join
Data from another layer based on spatial location, in the drop down. Checked
Sum field.
7)
Named the output buf_crimes.
8)
Chose unique values, and used Distance as the
value field.
9)
Removed original buff layer.
10) Completed
the table data.
11) Joined
data from police_sations layer from the joining layer of Crime. Named it
pol_sta_crimes. Clicked ok.
12) Completed
the table.
13) Made
a graph using the sum_event for the crimes layer.
14) Added
all essential map elements.
Step 4
1)
Opened the preset WashingtonDC.mxd.
2)
Turned on the Spatial Analyst ext.
3)
Added Crime layer.
4)
Ran a selection query for burglaries from the
crime layer
5)
Opened the Kernel Density tool. Used the crime
layer for the input. Chose Event for the population field. Named the output
burglary608. Left defaults and clicked ok.
6)
Ran the tool again but used a 5000 and 1500
search radius and compared the data.
7)
Saved the burglary1500 as a layer.
8)
Added DC_streets. Exported major and minor roads
for separate views.
9)
Repeated the same procedures for the steps above
for the Homicide, Sex Abuse and Population data.
10) Created
4 maps as an end result using the population map as a reference of where the
population is the densest.
11) Added
all essential map elements.
