Added code that forms aggregated documents over a user-defined pointgrid and search bandwidth. The current approach requires maintaining word frequency dictionaries at both the individual and aggregated document level. This is likely to eat up tons of memory when working with super large twitter/wiki datasets. A more memory friendly option would be to offload the individual document information to a temporary table in the DB as it is read in. This option would be very slow in comparison however.