基本信息
易嘉伟 男 硕导 中国科学院地理科学与资源研究所
电子邮件: yijw@lreis.ac.cn
通信地址: 北京市朝阳区大屯路甲11号中科院地理所D座
邮政编码: 100101
电子邮件: yijw@lreis.ac.cn
通信地址: 北京市朝阳区大屯路甲11号中科院地理所D座
邮政编码: 100101
研究领域
城市灾害、生态保护、气候变化等可持续发展问题中的人类数字足迹大数据研究
招生信息
招生专业
070503-地图学与地理信息系统
招生方向
地图学与地理信息系统
教育背景
2013-09--2017-07 中国科学院地理科学与资源研究所 博士2010-09--2013-07 中国科学院地理科学与资源研究所 硕士2006-09--2010-07 武汉大学 本科
工作经历
工作简历
2020-11~现在, 中国科学院地理科学与资源研究所, 副研究员2017-07~2020-10,中国科学院地理科学与资源研究所, 助理研究员
教授课程
地理信息系统GIS空间分析空间数据获取,融合,及典型应用地理信息系统应用
专利与奖励
奖励信息
(1) 中国科学院院长优秀奖, 院级, 2017(2) 北京市优秀毕业生, 市地级, 2017
专利成果
[1] 千家乐, 杜云艳, 易嘉伟. 一种基于位置大数据的城市抗灾韧性阈值检测方法及系统. CN: CN113837667A, 2021-12-24.[2] 刘张, 杜云艳, 易嘉伟. 基于位置大数据的精细时空尺度动态人口预测方法及系统. CN: CN111932036B, 2021-01-08.[3] 易嘉伟, 杜云艳. 一种基于微博文本数据的高温事件检测方法及系统. CN: CN111813922B, 2021-01-05.[4] 易嘉伟, 杜云艳. 一种适用于移动目标分支轨迹的相似度查询系统及方法. CN: CN110162586A, 2019-08-23.[5] 易嘉伟, 杜云艳, 周成虎. 一种基于贝叶斯的涡旋自动追踪方法. CN: CN105894535A, 2016-08-24.[6] 易嘉伟, 杜云艳, 周成虎. 一种基于随机粒子的涡旋流场动态可视化方法. CN: CN105844036A, 2016-08-10.[7] 杜云艳, 易嘉伟, 周成虎. 一种海洋涡旋演变过程信息提取方法. CN: CN103399905A, 2013-11-20.
出版信息
发表论文
[1] Nan Wang, Yunyan Du, Fuyuan Liang, Jiawei Yi, Jiale Qian, Wenna Tu, Sheng Huang, Peixian Luo. Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China. SUSTAINABLE CITIES AND SOCIETY. 2023, 99: http://dx.doi.org/10.1016/j.scs.2023.104879.[2] Tu, Wenna, Du, Yunyan, Yi, Jiawei, Liang, Fuyuan, Wang, Nan, Qian, Jiale, Huang, Sheng, Luo, Peixian, Wang, Xiaoyue. Assessment of the dynamic ecological networks on the Qinghai-Tibet Plateau using human's digital footprints. ECOLOGICAL INDICATORS[J]. 2023, 147: http://dx.doi.org/10.1016/j.ecolind.2023.109954.[3] Wan, Nan, Du, Yunyan, Liang, Fuyuan, Yi, Jiawei, Qian, Jiale, Tu, Wenna, Huang, Sheng. Nighttime light satellite images reveal uneven socioeconomic development along China's land border. APPLIED GEOGRAPHY[J]. 2023, 152: http://dx.doi.org/10.1016/j.apgeog.2023.102899.[4] Nan Wang, Yunyan Du, Fuyuan Liang, Jiawei Yi, Jiale Qian, Wenna Tu, Sheng Huang, Peixian Luo. Protected areas effectively resisted 33.8% of urban development pressures in China during 2000–2018. APPLIED GEOGRAPHY. 2023, 159: http://dx.doi.org/10.1016/j.apgeog.2023.103079.[5] Qian, Jiale, Du, Yunyan, Yi, Jiawei, Liang, Fuyuan, Wang, Nan, Ma, Ting, Pei, Tao. Quantifying unequal urban resilience to rainfall across China fromlocation-aware big data. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES[J]. 2023, 23(1): 317-328, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000922819700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=3a85505900f77cc629623c3f2907beab.[6] 涂文娜, 易嘉伟, 杜云艳, 王楠, 千家乐, 黄胜, 王晓悦. 青海湖自然保护区人类数字足迹及草地生物量的人类活动暴露度的时空模式分析. 生物多样性. 2022, 30(6): 171-181, https://d.wanfangdata.com.cn/periodical/swdyx202206019.[7] Wang, Nan, Du, Yunyan, Liang, Fuyuan, Wang, Huimeng, Yi, Jiawei. The spatiotemporal response of China's vegetation greenness to human socio-economic activities. JOURNAL OF ENVIRONMENTAL MANAGEMENT[J]. 2022, 305: http://dx.doi.org/10.1016/j.jenvman.2021.114304.[8] Tu, Wenna, Liu, Zhang, Du, Yunyan, Yi, Jiawei, Liang, Fuyuan, Wang, Nan, Qian, Jiale, Huang, Sheng, Wang, Huimeng. An ensemble method to generate high-resolution gridded population data for China from digital footprint and ancillary geospatial data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 107: https://doaj.org/article/9bd53e443f8a4def8af2cb865704e200.[9] Qian, Jiale, Du, Yunyan, Yi, Jiawei, Liang, Fuyuan, Huang, Sheng, Wang, Xiaoyue, Wang, Nan, Tu, Wenna, Pei, Tao, Ma, Ting. Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China. SUSTAINABLE CITIES AND SOCIETY[J]. 2022, 87: http://dx.doi.org/10.1016/j.scs.2022.104213.[10] Huang, Sheng, Du, Yunyan, Yi, Jiawei, Liang, Fuyuan, Qian, Jiale, Wang, Nan, Tu, Wenna. Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China. REMOTE SENSING[J]. 2022, 14(5): http://dx.doi.org/10.3390/rs14051269.[11] Qian, Jiale, Liu, Zhang, Du, Yunyan, Liang, Fuyuan, Yi, Jiawei, Ma, Ting, Pei, Tao. Quantify city-level dynamic functions across China using social media and POIs data. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS[J]. 2021, 85: http://dx.doi.org/10.1016/j.compenvurbsys.2020.101552.[12] 杜云艳, 易嘉伟, 薛存金, 千家乐, 裴韬. 多源地理大数据支撑下的地理事件建模与分析. 地理学报[J]. 2021, 76(11): 2853-2866, http://lib.cqvip.com/Qikan/Article/Detail?id=7106202948.[13] Wang Nan, Wang Huimeng, Du Yunyan, Yi Jiawei, Liu Zhang, Tu Wenna. Population migration across the Qinghai-Tibet Plateau: Spatiotemporal patterns and driving factors. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2021, 31(2): 195-214, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6896401&detailType=1.[14] Du Yunyan, Tu Wenna, Liang Fuyuan, Yi Jiawei. Human's digital footprints on the Qinghai-Tibet Plateau: Variations during festivals and impacts on nature reserves. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2021, 31(2): 179-194, http://lib.cqvip.com/Qikan/Article/Detail?id=7103982611.[15] Qi Wei, Yi Jiawei. Spatial pattern and driving factors of migrants on the Qinghai-Tibet Plateau: Insights from short-distance and long-distance population migrants. JOURNAL OF GEOGRAPHICAL SCIENCES[J]. 2021, 31(2): 215-230, http://dx.doi.org/10.1007/s11442-021-1843-y.[16] Ma, Ting, Zhao, Na, Ni, Yong, Yi, Jiawei, Wilson, John P, He, Lihuan, Du, Yunyan, Pei, Tao, Zhou, Chenghu, Song, Ci, Cheng, Weiming. China's improving inland surface water quality since 2003. SCIENCE ADVANCES[J]. 2020, 6(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000507552400001.[17] 王楠, 王会蒙, 杜云艳, 易嘉伟, 刘张, 涂文娜. 青藏高原人口流入流出时空模式研究. 地理学报[J]. 2020, 75(7): 1418-1431, http://lib.cqvip.com/Qikan/Article/Detail?id=7102449338.[18] 刘张, 千家乐, 杜云艳, 王楠, 易嘉伟, 孙晔然, 马廷, 裴韬, 周成虎. 基于多源时空大数据的区际迁徙人群多层次空间分布估算模型--以COVID-19疫情期间自武汉迁出人群为例. 地球信息科学学报[J]. 2020, 22(2): 147-, http://lib.cqvip.com/Qikan/Article/Detail?id=7101348977.[19] 易嘉伟, 王楠, 千家乐, 马廷, 杜云艳, 裴韬, 周成虎, 涂文娜, 刘张, 王会蒙. 基于大数据的极端暴雨事件下城市道路交通及人群活动时空响应. 地理学报[J]. 2020, 75(3): 497-508, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=DLXB202003006&v=MTc1NDlEaDFUM3FUcldNMUZyQ1VSN3FlWitkbUZ5cmdXNy9BSVNIVGJMRzRITkhNckk5RllvUjhlWDFMdXhZUzc=.[20] Wang, Huimeng, Du, Yunyan, Yi, Jiawei, Wang, Nan, Liang, Fuyuan. Mining Evolution Patterns from Complex Trajectory Structures-A Case Study of Mesoscale Eddies in the South China Sea. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2020, 9(7): https://doaj.org/article/1e4b84ba3cde48db976986d6091f07f9.[21] Ting Ma, Siao Sun, Guangtao Fu, Jim W. Hall, Yong Ni, Lihuan He, Jiawei Yi, Na Zhao, Yunyan Du, Tao Pei, Weiming Cheng, Ci Song, Chuanglin Fang, Chenghu Zhou. Pollution exacerbates China’s water scarcity and its regional inequality. NATURE COMMUNICATIONS[J]. 2020, 11(1): 1-9, [22] Zhou, Chenghu, Su, Fenzhen, Pei, Tao, Zhang, An, Du, Yunyan, Luo, Bin, Cao, Zhidong, Wang, Juanle, Yuan, Wen, Zhu, Yunqiang, Song, Ci, Chen, Jie, Xu, Jun, Li, Fujia, Ma, Ting, Jiang, Lili, Yan, Fengqin, Yi, Jiawei, Hu, Yunfeng, Liao, Yilan, Xiao, Han. COVID-19: Challenges to GIS with Big Data. 地理学与可持续性(英文)[J]. 2020, 1(1): 77-87, http://lib.cqvip.com/Qikan/Article/Detail?id=7106502645.[23] 周成虎, 裴韬, 杜云艳, 陈洁, 许珺, 王姣娥, 张国义, 苏奋振, 宋辞, 易嘉伟, 马廷, 葛咏, 张岸, 姜莉莉. 新冠肺炎疫情大数据分析与区域防控政策建议. 中国科学院院刊[J]. 2020, 35(2): 200-, http://lib.cqvip.com/Qikan/Article/Detail?id=7101105942.[24] Yi, Jiawei, Du, Yunyan, Liang, Fuyuan, Tu, Wenna, Qi, Wei, Ge, Yong. Mapping human's digital footprints on the Tibetan Plateau from multi-source geospatial big data. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2020, 711: http://dx.doi.org/10.1016/j.scitotenv.2019.134540.[25] Wang, Huimeng, Du, Yunyan, Sun, Yong, Liang, Fuyuan, Yi, Jiawei, Wang, Nan. Clustering Complex Trajectories Based on Topologic Similarity and Spatial Proximity: A Case Study of the Mesoscale Ocean Eddies in the South China Sea. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2019, 8(12): https://www.webofscience.com/wos/woscc/full-record/WOS:000518041800053.[26] 王楠, 杜云艳, 易嘉伟, 刘张, 王会蒙. 基于手机信令数据的北京市空间品质时空动态分析. 地球信息科学学报[J]. 2019, 21(1): 86-, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2019&filename=DQXX201901011&v=MDI3MjR1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVaK1J2RmlybVU3L0FJVHpUZHJHNEg5ak1ybzlFWllSOGVYMUw=.[27] 孙勇, 王会蒙, 靳奉祥, 杜云艳, 季民, 易嘉伟. 一种基于空间-拓扑结构相似性的复杂轨迹聚类算法. 地球信息科学学报[J]. 2019, 21(11): 1669-, http://lib.cqvip.com/Qikan/Article/Detail?id=7100466114.[28] Zhang Liu, Yunyan Du, Jiawei Yi, Fuyuan Liang, Ting Ma, Tao Pei. Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut. REMOTE SENSING[J]. 2019, 11(18): 21-, https://doaj.org/article/0206d160efc6401eb6a2577d6f39ab6c.[29] Wang, Huimeng, Du, Yunyan, Yi, Jiawei, Sun, Yong, Liang, Fuyuan. A New Method for Measuring Topological Structure Similarity between Complex Trajectories. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2019, 31(10): 1836-1848, http://dx.doi.org/10.1109/TKDE.2018.2872523.[30] Wang, Huimeng, Du, Yunyan, Liang, Fuyuan, Sun, Yong, Yi, Jiawei. A Census of the 1993-2016 Complex Mesoscale Eddy Processes in the South China Sea. WATER[J]. 2019, 11(6): https://doaj.org/article/f59b88763b814f41a855013f0229ef05.[31] J Yi, Y Du, F Liang, T Pei, T Ma, C Zhou. Anomalies of dwellers' collective geotagged behaviors in response to rainstorms: a case study of eight cities in China using smartphone location data. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES[J]. 2019, 19(10): 2169-2182, https://doaj.org/article/c2ea2092c98c4c558639f96007f8b3de.[32] 杜云艳. Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data.. International Journal of Digital Earth,. 2019, [33] 彭卉, 杜云艳, 易嘉伟, 刘张, 王会蒙. 基于手机数据的北京市城市与近郊交互模式挖掘. 地球信息科学学报[J]. 2019, 21(1): 97-, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2019&filename=DQXX201901012&v=MDY0Nzdyek1JVHpUZHJHNEg5ak1ybzlFWm9SOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVaK1J2RmlybVU=.[34] Wang, Nan, Du, Yunyan, Liang, Fuyuan, Yi, Jiawei, Wang, Huimeng. Spatiotemporal Changes of Urban Rainstorm-Related Micro-Blogging Activities in Response to Rainstorms: A Case Study in Beijing, China. APPLIED SCIENCES-BASEL[J]. 2019, 9(21): http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000498058600154.[35] 易嘉伟. 基于位置大数据的国庆假期青藏高原人群分布时空变化模式挖掘. 地球信息科学学报. 2019, [36] Liu, Zhang, Ma, Ting, Du, Yunyan, Pei, Tao, Yi, Jiawei, Peng, Hui. Mapping hourly dynamics of urban population using trajectories reconstructed from mobile phone records. TRANSACTIONS IN GIS[J]. 2018, 22(2): 494-513, http://ir.igsnrr.ac.cn/handle/311030/57298.[37] 杜云艳, 莫洋, 王会蒙, 易嘉伟. 基于复杂网络的海洋涡旋移动特征研究———以南海为例. 海洋学报[J]. 2017, 39(7): 110-, http://lib.cqvip.com/Qikan/Article/Detail?id=672611447.[38] Yi, Jiawei, Du, Yunyan, Wang, Dongxiao, Zhou, Chenghu. Tracking the evolution processes and behaviors of mesoscale eddies in the South China Sea: a global nearest neighbor filter approach. ACTA OCEANOLOGICA SINICA[J]. 2017, 36(11): 27-37, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6190507&detailType=1.[39] Yi, Jiawei, Du, Yunyan, Liang, Fuyuan, Zhou, Chenghu. An auto-tracking algorithm for mesoscale eddies using global nearest neighbor filter. LIMNOLOGY AND OCEANOGRAPHY-METHODS[J]. 2017, 15(3): 276-290, https://www.webofscience.com/wos/woscc/full-record/WOS:000397732400004.[40] 莫洋, 杜云艳, 吴笛, 易嘉伟. 海洋涡旋移动特征的区域划分方法及应用分析. 地球信息科学学报[J]. 2016, 18(7): 910-, http://lib.cqvip.com/Qikan/Article/Detail?id=669426179.[41] Du, Yunyan, Wu, Di, Liang, Fuyuan, Yi, Jiawei, Mo, Yang, He, Zhigang, Pei, Tao. Major migration corridors of mesoscale ocean eddies in the South China Sea from 1992 to 2012. JOURNAL OF MARINE SYSTEMS[J]. 2016, 158: 173-181, http://dx.doi.org/10.1016/j.jmarsys.2016.01.013.[42] Li, Ce, Du, Yunyan, Liang, Fuyuan, Yi, Jiawei, Lakhan, V Chris. A GIS-based method for depicting the characteristics of mesoscale eddies: a case study in the Northern South China Sea. CANADIAN JOURNAL OF EARTH SCIENCES[J]. 2015, 52(9): 746-756, http://dx.doi.org/10.1139/cjes-2014-0177.[43] 魏海涛, 杜云艳, 周成虎, 易嘉伟. 利用anns的空间信息处理服务智能集成算法. 武汉大学学报信息科学版[J]. 2015, 40(1): 14-, [44] 魏海涛, 杜云艳, 许开辉, 吴笛, 易嘉伟, 莫洋, 刘张. 基于密度的线数据分组算法研究. 地球信息科学学报[J]. 2015, 17(5): 538-, http://lib.cqvip.com/Qikan/Article/Detail?id=664685774.[45] Yi, Jiawei, Du, Yunyan, Zhou, Chenghu, Liang, Fuyuan, Yuan, May. Automatic Identification of Oceanic Multieddy Structures From Satellite Altimeter Datasets. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2015, 8(4): 1555-1563, http://ir.igsnrr.ac.cn/handle/311030/38518.[46] 魏海涛, 杜云艳, 任浩玮, 刘张, 易嘉伟, 许开辉. 基于nkd树的空间点数据分组算法. 地球信息科学学报[J]. 2015, 17(1): 1-, [47] 吴笛, 杜云艳, 易嘉伟, 魏海涛, 莫洋. 基于密度的轨迹时空聚类分析. 地球信息科学学报[J]. 2015, 17(10): 1162-, http://lib.cqvip.com/Qikan/Article/Detail?id=666160594.[48] Du Yunyan, Yi Jiawei, Wu Di, He Zhigang, Wang Dongxiao, Liang Fuyuan. Mesoscale oceanic eddies in the South China Sea from 1992 to 2012: evolution processes and statistical analysis. ACTA OCEANOLOGICA SINICA[J]. 2014, 33(11): 36-47, http://lib.cqvip.com/Qikan/Article/Detail?id=663101513.[49] 苏奋振, 吴文周, 平博, 易嘉伟, 张宇. 海洋地理信息系统研究进展. 海洋通报[J]. 2014, 33(4): 361-370, http://lib.cqvip.com/Qikan/Article/Detail?id=662233668.[50] Yi Jiawei, Liu Zhang, Du Yunyan, Wu Di, Zhou Chenghu, Wei Haitao, Xu Kaihui, Liang Fuyuan, Hu S, Ye X. A Gaussian-surface-based Approach to Identifying Oceanic Multi-eddy Structures from Satellite Altimeter Datasets. 2014 22ND INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2014)null. 2014, [51] Yi, Jiawei, Du, Yunyan, Liang, Fuyuan, Zhou, Chenghu, Wu, Di, Mo, Yang. A representation framework for studying spatiotemporal changes and interactions of dynamic geographic phenomena. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2014, 28(5): 1010-1027, http://www.irgrid.ac.cn/handle/1471x/845816.[52] Wang Xin, Du Yunyan, Zhou Chenghu, Fan Xing, Yi Jiawei. animprovedsshbasedmethodtoautomaticallyidentifymesoscaleeddiesintheocean. 热带海洋学报[J]. 2013, 32(2): 15-, http://lib.cqvip.com/Qikan/Article/Detail?id=46579924.[53] Yi Jiawei, Du Yunyan. Visual data exploration of space-time characteristics of mesoscale eddies in the South China Sea: A cube-based approach. Proceedings - 2012 20th International Conference on Geoinformatics, Geoinformatics 2012null. 2012, http://www.irgrid.ac.cn/handle/1471x/522441.
科研活动
科研项目
( 1 ) 灾害事件下人类活动群体异常探测, 主持, 国家级, 2020-01--2022-12( 2 ) 泛第三极环境变化与绿色丝绸之路建设, 参与, 部委级, 2018-01--2022-12( 3 ) 地理大数据挖掘与时空模式发现, 参与, 国家级, 2017-01--2021-12