1 Tabelas de Contingência e Sankey

1.1 Dados

1.1.0.0.1 Modos de Grupamento
## [1] 14
1.1.0.0.2 Unidades de análise
## [1] 7
1.1.0.0.3 Métodos de Identificação
## [1] 14
1.1.0.0.4 Critétios de Priorização
## [1] 9

1.2 Frequências de Unidades de Análise

Unidade Análise Freq Perc
Block 4 9.523810
Cluster 16 38.095238
Counties 1 2.380952
Grid Cells 4 9.523810
LIXEL 4 9.523810
Segments and Junctions 12 28.571429
Uninformed 1 2.380952

1.3 Tabela de Contingência: Unidade de Análise X Método de Grupamento

Grupamento Unidade Análise Freq Perc
Beta-binomial screening Segments and Junctions 1 2.380952
Black Spots offically Uninformed 1 2.380952
Cells Grid Cells 4 9.523810
City Limits Counties 1 2.380952
Community Census Block 4 9.523810
DBSCAN Cluster 1 2.380952
Firefly Algorithm Cluster 1 2.380952
Gaussian Mixture Models GMM Cluster 1 2.380952
KDE Cluster 7 16.666667
Nearest Neighbor Cluster 1 2.380952
NKDE LIXEL 4 9.523810
Section split Segments and Junctions 11 26.190476
Spatial Correlation Cluster 4 9.523810
SVM Cluster 1 2.380952

1.4 Frequências de Critérios de Priorização

Priorização Freq Perc
Density 7 16.666667
Expected Frequencies 7 16.666667
Features Recognition 4 9.523810
GWR 3 7.142857
Over Time Variations 4 9.523810
Potential Improvement 3 7.142857
Severity Index 5 11.904762
Spatial Correlation 2 4.761905
UCL 7 16.666667

1.5 Tabela de Contingência: Métodos de identificação x o Critétios de Priorização

Identificação Priorização Freq Perc
Accident Contributory Factors Features Recognition 1 2.380952
Analytic Hierarchy Process Density 1 2.380952
Bayesian Network Severity Index 1 2.380952
Empirical Bayes Potential Improvement 1 2.380952
Full-Bayesian Expected Frequencies 1 2.380952
Minimum Treshold Limit Density 1 2.380952
Minimum Treshold Limit Potential Improvement 1 2.380952
Minimum Treshold Limit Severity Index 1 2.380952
Minimum Treshold Limit UCL 3 7.142857
Nearest Neighbor GWR 1 2.380952
Nearest Neighbor UCL 1 2.380952
Network-Constrained Density 1 2.380952
Network-Constrained Over Time Variations 1 2.380952
Network-Constrained Severity Index 1 2.380952
Network-Constrained Spatial Correlation 2 4.761905
Probability Density Function Expected Frequencies 1 2.380952
Regression models Expected Frequencies 2 4.761905
Regression models UCL 1 2.380952
Semantic Segmentation Features Recognition 1 2.380952
Spatial Association Density 3 7.142857
Spatial Association Expected Frequencies 3 7.142857
Spatial Association Features Recognition 1 2.380952
Spatial Association GWR 2 4.761905
Spatial Association Over Time Variations 3 7.142857
Spatial Association Potential Improvement 1 2.380952
Spatial Association Severity Index 1 2.380952
Spatial Association UCL 1 2.380952
Weighted Accident Number Density 1 2.380952
Weighted Accident Number Severity Index 1 2.380952
Weighted Accident Number UCL 1 2.380952
XGBoost Features Recognition 1 2.380952

1.6 Tabela de Contingência: Todos x Todos

Grupamento Unid Anal Identificação Priorização Freq Perc
Beta-binomial screening Segments and Junctions Minimum Treshold Limit UCL 1 2.380952
Black Spots offically Uninformed Semantic Segmentation Features Recognition 1 2.380952
Cells Grid Cells Minimum Treshold Limit UCL 1 2.380952
Cells Grid Cells Spatial Association Expected Frequencies 2 4.761905
Cells Grid Cells Spatial Association Features Recognition 1 2.380952
City Limits Counties Full-Bayesian Expected Frequencies 1 2.380952
Community Census Block Regression models Expected Frequencies 1 2.380952
Community Census Block Spatial Association Expected Frequencies 1 2.380952
Community Census Block Spatial Association GWR 2 4.761905
DBSCAN Cluster Weighted Accident Number Density 1 2.380952
Firefly Algorithm Cluster Minimum Treshold Limit Density 1 2.380952
Gaussian Mixture Models GMM Cluster Probability Density Function Expected Frequencies 1 2.380952
KDE Cluster Nearest Neighbor UCL 1 2.380952
KDE Cluster Network-Constrained Spatial Correlation 1 2.380952
KDE Cluster Spatial Association Density 2 4.761905
KDE Cluster Spatial Association Potential Improvement 1 2.380952
KDE Cluster Spatial Association Severity Index 1 2.380952
KDE Cluster Spatial Association UCL 1 2.380952
Nearest Neighbor Cluster Nearest Neighbor GWR 1 2.380952
NKDE LIXEL Network-Constrained Density 1 2.380952
NKDE LIXEL Network-Constrained Over Time Variations 1 2.380952
NKDE LIXEL Network-Constrained Spatial Correlation 1 2.380952
NKDE LIXEL Spatial Association Over Time Variations 1 2.380952
Section split Segments and Junctions Analytic Hierarchy Process Density 1 2.380952
Section split Segments and Junctions Bayesian Network Severity Index 1 2.380952
Section split Segments and Junctions Empirical Bayes Potential Improvement 1 2.380952
Section split Segments and Junctions Minimum Treshold Limit Potential Improvement 1 2.380952
Section split Segments and Junctions Minimum Treshold Limit Severity Index 1 2.380952
Section split Segments and Junctions Minimum Treshold Limit UCL 1 2.380952
Section split Segments and Junctions Regression models Expected Frequencies 1 2.380952
Section split Segments and Junctions Regression models UCL 1 2.380952
Section split Segments and Junctions Weighted Accident Number Severity Index 1 2.380952
Section split Segments and Junctions Weighted Accident Number UCL 1 2.380952
Section split Segments and Junctions XGBoost Features Recognition 1 2.380952
Spatial Correlation Cluster Network-Constrained Severity Index 1 2.380952
Spatial Correlation Cluster Spatial Association Density 1 2.380952
Spatial Correlation Cluster Spatial Association Over Time Variations 2 4.761905
SVM Cluster Accident Contributory Factors Features Recognition 1 2.380952

1.8 Nós Sankey

1.9 Sankey

1.10 Sankey Customizado