Hourly temporal signatures are constructed from geosocial networking point of interest (POI) check-in data.
Using circular statistics, temporal signatures of POI types are compared between U.S. cities.
The highest and lowest regionally variable POI types are calculated and discussed.
Hierarchy homogeneity of POI types is examined and reported.
POI type regional variability is compared between cities in the U.S. and Shanghai, China.