Description: There are four feature classes in the dataset. The base feature class is called FSAs_fsa and isn't generalized. The weighted centroids feature class is called FSAs_fsa_cent. The centroids are weighted by a Block Centroids population distribution. The FSAs_fsa and FSAs_fsa_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: FSAs_fsa_gen2, and FSAs_fsa_gen3. Use the generalized boundaries when creating study areas.