Data taken from "Traffic Crashes" from Norfolk Open Data ( https://data.norfolk.gov/Transit/Traffic-Crashes/w6gf-9gws/about_data ) Crashes that occurred on an interstate were filtered out. A DBScan was performed to find significant clusters. Epsilon was set to 0.001, and minPts was set to 10. The top ten were plotted on a map.

Vitamin-Vr

Data taken from "Traffic Crashes" from Norfolk Open Data ( https://data.norfolk.gov/Transit/Traffic-Crashes/w6gf-9gws/about_data ) Crashes that occurred on an interstate were filtered out. A DBScan was performed to find significant clusters. Epsilon was set to 0.001, and minPts was set to 5. The top six were plotted on a map.

Data taken from "Traffic Crashes" from Norfolk Open Data ( https://data.norfolk.gov/Transit/Traffic-Crashes/w6gf-9gws/about_data ) Crashes that occurred on an interstate were filtered out. A DBScan on those records where "Pedestrian Involved" was marked "Yes" was performed to find significant clusters. Epsilon was set to 0.001, and minPts was set to 5.

No presente trabalho usamos o banco de dados sobre a profundidade de uma área x, para sabermos correlação para esses dados contínuos. Modelagem geoespacial para tomada de decisão.

Originally published Oct 17, 2024. Error in code line 67 corrected on Nov 12, 2024. The bottom figure now correctly depicts the 2 compartment model.