## 3 Results
### High/Low Clustering: Getis-Ord General G statistic
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Damage Level**} & \multicolumn{2}{c}{**Green Code**} & \multicolumn{5}{c}{**Yellow Code**} \\ \cline{2-10}  & **B** & **Std. Error** & \(t\) & **Sign.** & **B** & **Std. Error** & \(t\) & **Sign.** \\ \hline \(I_{SS}\) & 0.279 & 0.004 & 7.752 & 0.000 \({}^{\star}\) & 0.266 & 0.005 & 5.336 & 0.000 \({}^{\star}\) \\ \(I_{SC}\) & \(-\)0.113 & 0.003 & \(-\)5.255 & 0.000 \({}^{\star}\) & \(-\)0.060 & 0.006 & \(-\)5.521 & 0.000 \({}^{\star}\) \\ \(I_{SAC}\) & \(-\)0.067 & 0.003 & \(-\)2.286 & 0.000 \({}^{\star}\) & 0.053 & 0.004 & \(-\)3.090 & 0.000 \({}^{\star}\) \\ \(I_{IIUC}\) & \(-\)0.019 & 0.006 & \(-\)3.319 & 0.000 \({}^{\star}\) & 0.132 & 0.009 & \(-\)2.258 & 0.000 \({}^{\star}\) \\ \(I_{IARSD}\) & 0.058 & 0.002 & 2.002 & 0.000 \({}^{\star}\) & 0.092 & 0.006 & 1.002 & 0.000 \({}^{\star}\) \\ \(I_{\rm{IRA}}\) & 0.009 & 0.009 & 1.967 & 0.000 \({}^{\star}\) & 0.015 & 0.011 & 2.667 & 0.000 \({}^{\star}\) \\ \(I_{\rm{SF}}\) & 0.014 & 0.010 & 1.754 & 0.000 \({}^{\star}\) & 0.007 & 0.011 & 2.109 & 0.000 \({}^{\star}\) \\ \hline \multicolumn{10}{c}{Number of observations: 445} & \multicolumn{5}{c}{Number of observations: 289} \\ \multicolumn{10}{c}{Akaike’s information criterion (AIC): 24,657.2} & \multicolumn{5}{c}{AIC: 22,185.7} \\ \multicolumn{10}{c}{Multiple R-squared: 0.23} \\ \multicolumn{10}{c}{Adjusted R-squared: 0.24} \\ \multicolumn{10}{c}{F-statistic: 120.12 Prob (\(>\)F) (4,8) degrees of freedom: 0} \\ \multicolumn{10}{c}{F-statistic: 66.89 Prob (\(>\)F) (4,8) DF: 0} \\ \hline \hline \multicolumn{10}{c}{**Red Code**} \\ \cline{2-10}  & **B** & **Std. error** & \(t\) & **Sign.** & **B** & **Std. Error** & \(t\) & **Sign.** \\ \hline \(I_{SS}\) & 0.063 & 0.005 & 2.298 & 0.000 \({}^{\star}\) & \(-\)0.102 & 0.005 & \(-\)4.220 & 0.000 \({}^{\star}\) \\ \(I_{SC}\) & 0.012 & 0.006 & 2.107 & 0.000 \({}^{\star}\) & 0.286 & 0.003 & 7.632 & 0.000 \({}^{\star}\) \\ \(I_{SAC}\) & 0.127 & 0.003 & 4.785 & 0.000 \({}^{\star}\) & 0.117 & 0.007 & 3.356 & 0.000 \({}^{\star}\) \\ \(I_{IIUC}\) & 0.136 & 0.007 & 5.638 & 0.000 \({}^{\star}\) & 0.063 & 0.006 & 3.025 & 0.000 \({}^{\star}\) \\ \(I_{IARSD}\) & 0.152 & 0.006 & 4.897 & 0.000 \({}^{\star}\) & \(-\)0.068 & 0.007 & \(-\)2.086 & 0.000 \({}^{\star}\) \\ \(I_{\rm{IBA}}\) & 0.014 & 0.011 & 1.025 & 0.000 \({}^{\star}\) & \(-\)0.003 & 0.010 & 1.665 & 0.000 \({}^{\star}\) \\ \(I_{\rm{SF}}\) & 0.018 & 0.012 & 2.364 & 0.000 \({}^{\star}\) & 0.009 & 0.012 & 1.982 & 0.000 \({}^{\star}\) \\ \hline \multicolumn{10}{c}{Number of observations: 206} \\ \multicolumn{10}{c}{[PERSON]’s information criterion (AIC): 21,569.0} \\ \multicolumn{10}{c}{Multiple R-squared: 0.21} \\ \multicolumn{10}{c}{Adjusted R-squared: 0.53} \\ \multicolumn{10}{c}{Adjusted R-squared: 0.52} \\ \multicolumn{10}{c}{F-statistic: 75.51 Prob (\(>\)F) (4,8) degrees of freedom: 0} \\ \multicolumn{10}{c}{F-statistic: 166.25 Prob (\(>\)F) (4,8) DF: 0} \\ \hline \hline \end{tabular} \({}^{\star}\) Significant at the 0.01 level.  
\end{table} 
Table 3: Detailed multiple regression models (OLS) for LISA bidimensional analysis of the different levels of damage. to the discussion section. The behavior of the second one provides a clearer explanation from the point of view of the numerical-spatial correlation between the urban configuration indicator and the level of damage. This indicator analyzes both the detection in the reports of the technicians of phenomena of bounding between buildings due to a lack of the necessary separation between buildings, as well as the existence of inadequate urban configurations and orographic unevenness from the point of view of the seismic vulnerability of the buildings. If we analyze the numerical correlation between this indicator and the intensity damage level indicator at spatial level, we observe two clearly differentiated behaviors. On the one hand, there is a strong numerical correlation in the same areas in which there is High-High correlation of the indicator of existence of short columns.