# Multiple Correspondence Analysis of Emergencies Attended by Integrated Security Services
## 6 Experimental Results
### Individual FRI Analysis
#### 6.1.1 Fire Brigades  
In Figure 7a, six emergencies attended by the fire brigades are illustrated. Observing the eigenvectors plot (first column), and applying the selection criteria described above, it is easy to note that the 1 st, 2 nd, and 3 rd dimensions are the best ones describing the selected categories. Using the first one, we observe concentrations that are well defined and not too spread out. The 3D plot (second column) allows us to visualize all the categories plotted together, whereas in the 2D plot of the selected eigenvectors (third column) we observe concentration of three categories with enough separation between them to interpret them as independent events, and they correspond to'rescue', 'gas leak', and 'open department'. We also observe three overlapped categories with their concentrations circled in red, and they are structural fire, fire threats, and forest fire, making evident a relationship between the  
\begin{table}
\begin{tabular}{c l l l l} \hline \hline  & **Fire Brigades** & **Police** & **Health Services** & **Transit** \\ \hline
1 & Rescue & Consumption/Drug Sale & Disease & Crashes \\
2 & Gas Leak & Public Road Scandal & Accidental Poisoning & Collisions \\
3 & Structural Fire & Suspicious Person & Traumatism NT & Vehicle Bad Parked \\
4 & Fire Conatus & Family Brawl & Other NT Accidents & Vehicular Congestion \\
5 & Forest Fire & Person Requesting Help & Traffic Accidents NT & Hit by a Car \\
6 & Open Dept. & Excess of Noise & Fallen Same Height & Motorcycle Accident \\
7 & Floods & Police Guard & Violation & Damaged Vehicle \\
8 & Hazardous Materials & Non Typified Complaint & Exposure to Cold & Overturned Car \\
9 & Vehicular Fires & Theft & Run over by a Car & Closed Way \\
10 & Close Hydrant & Capture Bulletin & Wounded Head & Traffic Light damaged \\
11 & Pers./Mat. Accident & Escort of Values & Convulsion & Fall of a Passenger \\ \hline \hline \end{tabular}
\end{table}
Table 6: Categories used in the experimental results, ordered by FRIs.  
\begin{table}
\begin{tabular}{c l c c} \hline \hline
**Order** & **FRIs** & **Participation** & **Categories** \\ \hline
1 st & Police & 64.2\% & 45 \\
2 nd & Health Services & 15.0\% & 41 \\
3 rd & Transit & 12.8\% & 13 \\
4 th & Fire Brigades & 3.0\% & 15 \\
5 th & Municipal Services & 2.8\% & 8 \\
6 th & Military & 1.3\% & 2 \\
7 th & Risk Management Secretary & 0.9\% & 3 \\ \hline  & **Total** & **100.0\%** & **127** \\ \hline \hline \end{tabular}
\end{table}
Table 4: Percentage of emergencies attended during 2014, and the number of categories per each FRI in Quito PSAP.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**FB** & **RMS** & **M** & **P** & **HS** & **MS** & **T** \\ \hline (_i_) & - & - & (_i_) & (_i_) & - & (_i_) \\ (_ii_) & - & - & (_ii_) & (_ii_) & - & (_ii_) \\ (_iii_) & - & - & (_iii_) & (_iii_) & - & (_iii_) \\ (_iv_) & (_iv_) & (_iv_) & - & - & (_iv_) & - \\ \hline \hline \end{tabular}
\end{table}
Table 5: FRIs combination to obtain Multiple Correspondence Analysis (MCA) results.  
three represented types of fire. Observing the eigenvalues plot (fourth column), we clearly note the relevance of the eigenvector presented, in this case, the 6 th eigenvector accomplishes with selection criteria (_i_) and (_ii_), but it fails in (_iii_) because it has a zero eigenvalue, and its relevance is null.