I���m about to show you an animation that will kind of serve to summarize a lot of the efforts that we���ve been doing for this particular disaster in Georgia, for the severe flooding of 2009. This is a good way of getting the big picture quickly, to aid in faster decision making. Also, it���s a good way of representing the analysis that we do on the back end in a not-so-complex interface. Wherever you see the pinks and the reds, are very high concentrations of individual applicants for aid as well as some of the oranges and light greens. So I���ll take you into a community, Austell, Georgia, which was heavily affected. As you can see with the varying colors you have here, with all these different concentrations with red signifying the highest concentration. It makes it very easy for us to provide information. Here I���ll bring up the digital flood insurance rate maps, which are maps developed to show where there will be a higher frequency of flooding in a given community. A couple of our specialists were able to derive a sort of approximate flood extent, which I���ll bring up right now. Which is the blue here on the screen. As you can see, it extends well beyond the 500 year floodplain, which is yellow, and definitely far beyond the 100 year floodplain which is the red. So everywhere you see blue, is approximately where the flooding extended to. Some of our findings was that up to 95 percent of our individual applicants were not even in the 100-year or 500 year floodplain. So we���ll continue to fly through Austell and surrounding communities, Power Springs and Lithia Springs. One of the good things about information is that we can share it. In this event, we were able to team up with the state, and with our local governments and inter-agencies such as the USGS as well as the State of Georgia, GEMA and various counties to get the mission accomplished. One thing about this program is this is that it helps them with decision making. This is the business of decision making and it also helps them inform their colleagues in other agencies, their colleagues in other states, their colleagues in local governments so we can make smarter decisions, faster decisions.