Hi,
In this analysis, I have focused on three major states in the U.S.: California (CA), Texas (TX), and Florida (FL). I applied a technique called K-Means clustering to the data, which helped us group the incidents into four distinct spatial clusters for each state. This approach allows us to see areas with higher concentrations of these unfortunate events.
I observed the following:-
- Each state has its own unique pattern. While some clusters are densely packed in urban areas, others spread out in more rural regions.
- The scatter plots reveal that incidents are not evenly distributed but rather concentrate in certain areas.
Breaking the clusters state wise:-
- California (CA)
Cluster 0:This is the most significant cluster with 362 incidents. It mainly captures the dense urban areas of the state.
Cluster 1: With 145 incidents, this cluster represents a mix of urban and suburban areas.
Cluster 2:*This is one of the smaller clusters with 89 incidents, indicating less frequent occurrences in these regions.
Cluster 3:Comprising 239 incidents, this cluster spans several urban zones.
2. Texas (TX):
Cluster 0:The largest cluster with 266 incidents, capturing major cities and their surroundings.
Cluster 1:This cluster represents 115 incidents, predominantly in the eastern part of the state.
Cluster 2: With 179 incidents, this cluster spreads across the central regions.
Cluster 3:This is the smallest cluster in Texas with 67 incidents.
3. Florida (FL):
Cluster 0: Representing 104 incidents, this cluster is situated around the northern part.
Cluster 1:The largest in Florida, this cluster with 249 incidents covers the southern tip, including areas around Miami.
Cluster 2:This is the smallest cluster with only 17 incidents.
Cluster 3: With 89 incidents, it captures the central regions of the state.
And I intend to discuss my concerns and questions with the professor in the next class.