首页    期刊浏览 2024年07月08日 星期一
登录注册

文章基本信息

  • 标题:Development of 3D Monitoring Dataset for Shop and Office Tenants Variations in Broad Urban Area by Spatio-temporal Integrating Digital Maps and Yellow Page Data
  • 本地全文:下载
  • 作者:Yuki Akiyama ; Takeshi Shibuki ; Satoshi Ueyama
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B6b
  • 页码:67-74
  • 出版社:Copernicus Publications
  • 摘要:Various methods of analysis and dataset have been used for urban studies. However, used urban data often has low spatial resolution, especially regional statistics, though statistical data can cover large areas with homogeneous quality. For detailed analysis, some studies rely on field surveys which have fine spatial resolution, but fail to cover entire urban areas or large regions including suburbs and rural areas. Many prior studies also indicated the need of detailed time-series urban dataset all over Japan. In this study detailed time-series urban dataset in broad area have been developed. This dataset have been developed to integrate multi-year digital house maps and yellow page data using GIS system and developed programs in this study. Developed dataset cover South Kanto region for the period from 1995 to 2005 every five years. South Kanto region is the geopolitically important area of Japan including Tokyo metropolitan area.Using this dataset, not only name, business category, and detailed location including three-dimensional information but also time-series variation of almost all shops and offices can be monitored. Time-series variation means continuation, change, emergence, demise and immigration from other room or floor of tenants between two times
  • 关键词:Spatial Database; Spatio-temporal Data Mode; Image Understanding; Spatial-temporal Analysis; Urban Planning; ; Digital Mapping
国家哲学社会科学文献中心版权所有