文献
J-GLOBAL ID:202102237853503171
整理番号:21A1195172
COVID-19期間中の家庭滞留時間のための時系列クラスタリング:我々は何を学べるか?【JST・京大機械翻訳】
Time-Series Clustering for Home Dwell Time during COVID-19: What Can We Learn from It?
著者 (7件):
Huang Xiao
(Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA)
,
Li Zhenlong
(Department of Geography, University of South Carolina, Columbia, SC 29208, USA)
,
Lu Junyu
(School of Community Resources and Development, Arizona State University, Phoenix, AZ 85004, USA)
,
Wang Sicheng
(Department of Geography, University of South Carolina, Columbia, SC 29208, USA)
,
Wang Sicheng
(Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA)
,
Wei Hanxue
(Department of City and Regional Planning, Cornell University, Ithaca, NY 14850, USA)
,
Chen Baixu
(Department of Computer Science and Engineering, University of Michigan, Ann Arbor, MI 48109, USA)
資料名:
ISPRS International Journal of Geo-Information (Web)
(ISPRS International Journal of Geo-Information (Web))
巻:
9
号:
11
ページ:
675
発行年:
2020年
JST資料番号:
U7212A
ISSN:
2220-9964
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)