Each circle on the map encodes one police incident of vehicle crime. The position of the circle on the map is encoding the latitude and longitude of where this incident occured. The color of the circle is encoding the incident type. Red is given to motor vehicle thefts because it is the more extreme and costly crime, while orange is given to larceny from vehicle because it is less extreme and usually less costly.
This visualization is a heatmap which encodes the number of vehicle crime reports to the San Francisco Police Department for each day of the week and hour and in the last month. An orange color scale is used, and the darker orange a cell is, the more reports of vehicle crime were made on that day and hour.
To interact with this visualization, hover your mouse over a circle on tha map. When you hover over a circle a tool tip appears which will gives more information about that incident. The tool tip table includes the incident number, the neighborhood, the exact time and date, and the description of the incident. When the mouse hovers over a neighborhood on the basemap, the name of the neighborhood will be shown.
To interact with the visualization, hover your mouse over a cell in the heatmap. When you hover over a cell, a details on demand table will appear that shows the day, hour, and the exact value for the number of incidents that occured on this day during this hour. In addition, hovering over a specific cell will highlight it in the heatmap with a red outline so you know which cell the tooltip corresponds to.
The major finding from these visualizations, is that the most dangerous part of San Francisco to park you car in over the last month was the northeastern part of the city, and the most dangerous times to park your car on the street are weekdays between 5pm and 1am. This fits into the project narrative by helping us make informed decisions on when and where is it a bad idea to park you car in San Francisco. These visualizations are updated to always show the last month of data so these findings may change depending on when the visualizations are viewed.
Ahmed Kaddoura
CS Major, University of San Francisco
Expected Graduation: Fall 2020
amkaddoura@dons.usfca.edu
I am a computer scientist from San Francisco with an interest in front-end development and game design. I enjoy writing songs, playing basketball, and baking.