In this exercise data stored in the county and MMI layers was used to analyze the population, interstates, and railroads that are likely to be effected by a given earthquake. The Area Proportion technique was used to redistribute the spatial values throughout an area. This was done by first calculating the population density of each county. By determining persons per meter it is possible to even distribute the population throughout the county, allowing for more accurate results. Next, the county layer and the MMI layer were overlayed to obtain a CountyMMI layer to detemine which counties are within the MMI Zones. The population was then adjusted in the CountyMMI layer and summarized by its sum based on the MMI layer to reflect the population of each MMI layer. Next, using the MMI scale, interstates and railraods at risk where selected and also displayed on the map.
The purpose of this next exercise was to analyze the pattern of building damage resulting from the Northridge Earthquake in Southern California. First, the Building Status layer was used to symbolize building damage. Then, using the Kernel Density tool, it was possible to determine and analyze the density of only damaged buildings (shown on map in blue). Finally, peak ground acceleration and peak ground velocity were interpolated for comparasion to building damage. Note: Classification values were changed to five breaks to minimize space on legend. 
The next exercise was used to examine the spatial distribution of aftershocks. This was done by exporting earthquake catalog data into a Northridge Aftershock layer. From the aftershock layer the main shock was selected and and made into a layer. Significant earthquakes with a magnitude of 3.0 or higher were then symbolized.
The purpose of this last exercise was to examine the temporal distribution of the Northridge aftershocks. This was done by summarizing the DaysAfter field by maximum magnitude of aftershocks and then exporting and creating a graph to show the amount of aftershocks following the main shock.
