The goal of this set of analyses is to take a deeper dive into the 2019 Seattle 911 calls for service data. To follow up on the preliminary exploratory analysis, we will focus on three types of cases - Disturbance, Suspicious person, and trespass. The questions we want to address here include the following:
To start, we will reduce the 2019 calls for service data to the three case types of interest. The frequencies of each type are shown below in Table 1. The number of calls about disturbance cases are nearly double the amount about suspicious person and almost quadruple the number of trespass calls.
Case Type | # of Calls |
---|---|
Disturbance | 92,398 |
Suspicious Person | 48,878 |
Trespass | 24,500 |
Table 2 breaks down the density of calls for each type of case per square mile in Seattle. Include kernel density point map instead? Return to this.
Case Type | # of Calls | Calls per Sq. Mile |
---|---|---|
Disturbance | 92,398 | 615.22 |
Suspicious Person | 48,878 | 325.45 |
Trespass | 24,500 | 163.13 |
Even when we limit our focus to disturbance, trespass, and suspicious person cases, the north and west precincts lead in the number calls. Table 3 indicates that the north and west precincts together had just under 60% of all calls for the three types of cases. Furthermore, the north had just about double the number of calls for these types of cases than the south precinct.
NOTE: unknown is designated as the southernmost and northernmost boundaries of the city as well as the harbor areas.
Precinct | # Calls | % |
---|---|---|
NORTH | 48,881 | 30.55 |
WEST | 44,808 | 28.01 |
EAST | 25,574 | 15.98 |
SOUTH | 23,839 | 14.90 |
SOUTHWEST | 16,870 | 10.54 |
UNKNOWN | 24 | 0.02 |
The bar graph below (Figure 1) breaks down the types of cases within each precinct. Table 4, just below Figure 1, presents the frequencies, percentages, and densities for each case type and precinct.
Disturbances were the majority of cases in all precincts. Although over 50% of the focal cases are disturbance in all five precincts, the northern precinct had about 4 to 5 percentage point fewer disturbance cases than the other four precincts. This seems to be driven by the fact that the northern precinct had a sizable amount of suspicious person cases - 35.5%.
The north and southwest precincts led in the share of suspicious persons. Just over one-third of the calls in these two precincts are about suspicious persons. In fact, in the southwest precinct, there were only 4,000 fewer calls about suspicious persons than disturbances.
The western precinct had the highest number and share of trespass calls. 22% of all calls in the western precinct were reports of trespassing. Notice that in the western precinct the trespass and suspicious person calls have very similar percentages. No other precincts had two case types that were equally distributed. Lastly, the number of calls about trespassing in the western precinct - 10,216 - doubled the number of calls in each of the other precincts.
In terms of density, the east and west precincts stood out for having the highest density of calls for all three types of cases. The density of disturbance and suspicious persons calls in the east precinct edges out the density of those cases in the west. However, with trespass cases, the west precinct’s density is higher than the east precinct.
Case | Precinct | # Calls | % in Precinct | Calls per Sq. Mi. |
---|---|---|---|---|
Disturbance | SOUTH | 13,873 | 58.19 | 759.06 |
Disturbance | SOUTHWEST | 9,699 | 57.49 | 494.31 |
Disturbance | EAST | 14,673 | 57.37 | 1,816.18 |
Disturbance | WEST | 25,312 | 56.49 | 1,807.54 |
Disturbance | NORTH | 25,778 | 52.74 | 740.00 |
Suspicious Person | SOUTHWEST | 6,072 | 35.99 | 309.46 |
Suspicious Person | NORTH | 17,286 | 35.36 | 496.23 |
Suspicious Person | SOUTH | 7,294 | 30.60 | 399.09 |
Suspicious Person | EAST | 6,616 | 25.87 | 818.91 |
Suspicious Person | WEST | 9,551 | 21.32 | 682.04 |
Trespass | WEST | 9,945 | 22.19 | 710.17 |
Trespass | EAST | 4,285 | 16.76 | 530.39 |
Trespass | NORTH | 5,817 | 11.90 | 166.99 |
Trespass | SOUTH | 2,672 | 11.21 | 146.20 |
Trespass | SOUTHWEST | 1,099 | 6.51 | 56.01 |
Interactive Map of Sector Density
The different layers show the sector density for the case types. Check one layer at a time and hover your cursor over the sector polygons to get the sector name and density.
Sectors in the core, particularly, M, K, and E have the highest densities. Sectors M, K, and D belong to the west precinct. Sector E is part of the east precinct.
Sector B has the highest density for the north precinct. In the southwest precinct, Sector F has the highest density. Within the south precinct, Sector S has the highest density.
Figures 2.1 through 2.3 below show the number of cases in each sector.
NOTE: Sector 99 - the northern and southern-most areas of land in the map - does not belong to a precinct.
Disturbances
Suspicious Person
Trespass
Interactive Map of Beat Density
The different layers show the beat density for the case types. Check one layer at a time and hover your cursor over the beat polygons to get the beat name and density.
Interactive Beat Density Map
Figures 3.1 through 3.3 show the number of cases in the three beats with the highest frequencies. Recall that beats are nested within sectors and sectors are nested within precincts. The letter in each of the beat names indicates the sector that the beat is located in. The color of the dot in the figures indicates the precinct the beat lies within.
NOTE: The 99 sector does not have beats, so it is excluded in the figures below.
Disturbances
Suspicious Person
Trespass
Getis-Ord GI* Hot and Cold Spots Interactive Map
The map below presents hot and cold spots for each type of case. All three layers are turned on. I recommend turning on one layer at a time and viewing. Then go back and select two layers at a time to compare differences.
Disturbance
Suspicious Person
Trespass
Assistance rendered is the most common type of resolution for each of the three case types. Report written with no arrest is the next most common resolution for disturbance and trespass cases, and the third for suspicious person. Another common resolution was not being able to locate the incident/complainant, ranking third most common for disturbances, second in suspicious person cases, and fifth in trespass cases.
No police action deemed possible or necessary was fourth most common resolution for disturbance and suspicious persons cases. For trespass cases, no police action deemed possible or necessary was the sixth most common resolution with fewer than 1,000 cases.
The ranking of resolutions for suspicious persons cases looked similar to disturbances. The fifth most common resolution differed between the two case types. For disturbances, responding units being canceled by the radio rounded out the top five types of resolutions. However, the suspicious persons top five was rounded out here with a written street check.
The rankings for trespass cases differed from the other two types. For trespass cases, physical arrests and oral warnings were the third and fourth most common resolutions. Still, the number of trespass cases resolved with arrests and oral warnings are about one-quarter and one-tenth the number resolved by police rendering assistance, respectively.
Let’s focus on the top-5 resolutions for these cases of interest (as well as the and no police action deemed necessary or possible for trespass, which falls just outside of the top 5).
I started by conducting a multi-type point pattern analysis for each case type and the case resolutions. These analyses test whether the case resolutions are co-located or dispersed. We can answer questions like: Among trespassing cases, are physical arrests and no police action possible or necessary resolutions co-located or are they dispersed? The results for all three case types - disturbance, suspicious person, and trespassing - indicated that different the resolution types tend to be co-located.
One reason for the co-location pattern is that the analysis was run “globally.” Global statistical techniques compute statistics/patterns for the full spatial extent, which in this case was the whole city. It’s possible that on average the different types of resolutions are more co-located or clustered than dispersed. If we want to take more localized approaches, then we could run multi-type point pattern analyses on smaller geographic units, e.g., precincts, to see if within the precincts there are tendencies for certain resolutions to occur in one region of the precinct while other resolutions occur more commonly in another region.
As a set-up to this, I have presented graphs and maps of the resolutions types aggregated to precincts and beats. Choropleth maps are not the best visual for count data, so we might want to go back and create rates of resolutions per population/area or just run the point pattern analysis at precinct by precinct.