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-heat map of Pearson correlations between variables

-heat map of Pearson correlations between variables

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Figure 2 -heat map of Pearson correlations between variables
Figure 3 -Factorial load of PC1 and PC2
General model of a database for the elaboration of factor analysis
Calculation of factor loadings PC1 PC2 PC3 PC4 PC5 PC6 PC7 PC8 PC9 PC10...
The use of artificial intelligence in the instrumentalization of disaster classifiers
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  • Jul 2023
Disasters are events that claim thousands of lives, increasing in both quantity and intensity. For this reason, work that assists in understanding disasters has the potential to save lives and assist in best practices in policy planning aimed at reducing disaster risks. Thus, the research aimed to group disasters by classes using artificial intelli...
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Context 1
... identifying the degree of correlation between the pairs of variables, by means of Pearson's coefficient, it was possible to identify in which variables the correlation is higher or lower according to Figure 2. Variables such as: Population; Area; Annual Revenue; Annual budget; Damages and Losses and Affected carry the greatest correlations with each other. ...
Context 2
... identifying the degree of correlation between the pairs of variables, by means of Pearson's coefficient, it was possible to identify in which variables the correlation is higher or lower according to Figure 2. Variables such as: Population; Area; Annual Revenue; Annual budget; Damages and Losses and Affected carry the greatest correlations with each other. ...