This week was focused on analyzing different offenses in Washington, D.C.. I learned about adding an address locator, geocode address from a table, using the field calculator, performing multi-ring buffers, and using and displaying kernel density maps.
The first part of the lab was compiling a map showing percentages of crimes occurring near police stations. Underneath, I showed population density to help in analyzing how offenses are distributed amongst the population.
The second part is utilizing kernal density tool to show the differences between 3 different types of offenses and how often they occur in different parts of D.C.. I created kernal density maps for burglary, homicides, and sex abuse cases.