Description: There are four feature classes in the data set. The base feature class is called Forward Sortation Areas and isn't generalized. The weighted centroids feature class is called Forward Sortation Areas_cent. The centroids are weighted by a Block Centroids population distribution. The Forward Sortation Areas and Forward Sortation Areas_cent feature classes contain all the attributes. There are two generalized boundaries feature classes and called: Forward Sortation Areas_gen2 and Forward Sortation Areas_gen3. Use the generalized boundaries when creating study areas.