Data Quality Inspection Method for Comprehensive Risk Survey of Natural Disasters

被引：0

作者：

Wang, Juanle ^{[1
,4
]}

Li, Shuhan ^{[1
,2
]}

Wang, Yujie ^{[1
]}

Duan, Bowen ^{[1
]}

Zhou, Jialing ^{[1
,3
]}

机构：

[1] State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing,100101, China

[2] Institute of Disaster Prevention, Sanhe,065201, China

[3] School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang,222005, China

[4] Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing,210023, China

来源：

Journal of Geo-Information Science | 2023年 / 25卷 / 09期

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Big data - Civil defense - Computer software - Data reduction - Disaster prevention - Emergency services - Geographic information systems - Inspection - International cooperation - Risk management - Statistics

引用

页码：1765 / 1773

共 4 条

[1] Software Development for Comprehensive Assessment of English Online Teaching Quality in Universities Based on Data Mining
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International Journal of Emerging Technologies in Learning, 2023, 18 (02): : 261 - 278
[2] Analysis of regression based on sampling weights in complex sample survey: Data from the korea youth risk behavior web-based survey
Byeon, Haewon
Jin, Heekyung
Yu, Seonghun
Cho, Sunghyoun
International Journal of u- and e- Service, Science and Technology, 2015, 8 (10) : 65 - 74
[3] Forecast of NO2 concentrations based on coupled air quality model simulations and monitoring data using machine learning method
Huang, Yong-Xi
Zhu, Yun
Xie, Yang-Hong
Li, Hai-Xian
Zhang, Zhi-Cheng
Li, Jie
Li, Jin-Ying
Yuan, Ying-Zhi
Zhongguo Huanjing Kexue/China Environmental Science, 2023, 43 (12): : 6225 - 6234
[4] Correction to: Morphological change detection along the shoreline of Karachi, Pakistan using 50 year time series satellite remote sensing data and GIS techniques (Geomatics, Natural Hazards and Risk, (2021), 12, 1, (3358-3380), 10.1080/19475705.2021.2009044)
Geomatics, Natural Hazards and Risk, 2022, 13 (01)

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