@article{(Open Science Index):https://publications.waset.org/pdf/5661,
	  title     = {Automatic Detection and Spatio-temporal Analysis of Commercial Accumulations Using Digital Yellow Page Data},
	  author    = {Yuki. Akiyama and  Hiroaki. Sengoku and  Ryosuke. Shibasaki},
	  country	= {},
	  institution	= {},
	  abstract     = {In this study, the locations and areas of commercial
accumulations were detected by using digital yellow page data. An
original buffering method that can accurately create polygons of
commercial accumulations is proposed in this paper.; by using this
method, distribution of commercial accumulations can be easily
created and monitored over a wide area. The locations, areas, and
time-series changes of commercial accumulations in the South Kanto
region can be monitored by integrating polygons of commercial
accumulations with the time-series data of digital yellow page data.
The circumstances of commercial accumulations were shown to vary
according to areas, that is, highly- urbanized regions such as the city
center of Tokyo and prefectural capitals, suburban areas near large
cities, and suburban and rural areas.},
	    journal   = {International Journal of Geological and Environmental Engineering},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {154 - 159},
	  ee        = {https://publications.waset.org/pdf/5661},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},
	}