卢宾宾

                                             卢宾宾 , 武汉大学遥感信息工程学院副教授，博士生导师，新疆大学“天山学者”讲座教授，中国优选法统筹法与经济数学研究会数学建模与算法分会理事，Mathorcup数学建模竞赛阅卷专家组成员，中国地理学会会员,《Resources,  Environment and Sustainability》 期刊编委，《Frontiers in Plant Science 》客座编辑。长期致力于地理加权建模技术框架、地理加权回归分析技术理论和开源工具开发等方面的空间统计领域研究，建立了包括地理加权回归分析、地理加权汇总统计量、地理加权主成分分析和地理加权判别分析等技术的空间异质性地理加权建模框架，开发和维护地理加权建模技术R函数包GWmodel和shp2graph, 最新推出了地理加权建模技术高性能软件工具GWmodelS, 学术成果发表在IJGIS、CEUS、Journal of Statistical Software、Spatial Statistics、EPB、GSIS、TGIS等期刊，已授权发明专利1项、软件著作权2项, 出版《R语言空间数据处理与分析实践教程》教材一部，主持国家自然科学基金面上项目1项、青年基金项目1项，“十四五”国家重点研发项目专题1项，协作主持国家自然科学基金民航联合重点基金2项、国家自然科学基金面上基金项目1项、国家自然科学基金民航联合培育基金项目1项。学术主页：‪Google Scholar‬ ORICD   ResearchGate招生2023级地图学与地理信息系统、摄影测量与遥感、测绘工程等专业硕士研究生，欢迎学生联系详谈！(QQ: 232460549)团队公众号（下载GWmodelS软件需关注此公众号）：最新成果(动态更新)：[1] 谢嘉仪, 孙华波, 王纯, 卢宾宾*. 精细尺度下的不稳定进近影响因素分析. 武汉大学学报信息科学版. 2021;46(8):1201-8.[2] Xu G, Wang W, Lu D, Lu B*, Qin K, Jiao L. Geographically varying relationships between population flows from Wuhan and COVID-19 cases in Chinese cities. Geo-spatial Information Science. 2021:1-11.[3] Chen X, Xie J, Xiao C, Lu B*, Shan J. Recurrent origin–destination network for exploration of human periodic collective dynamics. Transactions in GIS. 2021.[4] Xu, G., Jiang, Y., Wang, S., Qin, K.*, Ding, J., Liu, Y., & Lu, B.*. Spatial Disparities of Self-reported COVID-19 Cases and Influencing Factors in Wuhan, China. Sustainable Cities and Society, 103485. 2021 [5] Hu Y, Lu B*, Ge Y*, Dong G. Uncovering Spatial Heterogeneity in Real Estate Prices via Combined Hierarchical Linear Model and Geographically Weighted Regression [J]. Environment and Planning B: Urban Analytics and City Science, 2022.[6]  Comber, A*; Brunsdon, C.; Charlton, M.; Dong, G.; Harris, R.; Lu, B*; Lü, Y.; Murakami, D.; Nakaya, T.; Wang, Y.; et al. A Route Map for Successful Applications of Geographically Weighted Regression. Geographical Analysis 2022, n/a, doi:https://doi.org/10.1111/gean.12316. [7]  Xiao R, Cao W, Liu Y, Lu B*. The impacts of landscape patterns spatio-temporal changes on land surface temperature from a multi-scale perspective: A case study of the Yangtze River Delta. Science of The Total Environment. 2022;821:153381.[8] Lu, B.*, Hu, Y., Murakami, D., Brunsdon, C., Comber, A., Charlton, M., and Harris, P.: ‘High-performance solutions of geographically weighted regression in R’, Geo-spatial Information Science, 2022, Online, pp. 1-14[9] Han, C., Zheng, J.*, Guan, J., Yu, D., and Lu, B.* : ‘Evaluating and simulating resource and environmental carrying capacity in arid and semiarid regions: A case study of Xinjiang, China’, Journal of Cleaner Production, 2022, 338, pp. 130646[10] Qin, K., Wang, Q., Lu, B.*, Sun, H., & Shu, P. (2022). Flight Anomaly Detection via a Deep Hybrid Model. Aerospace, 9(6). doi:10.3390/aerospace9060329[11]  Comber A, Callaghan M, Harris P, Lu B, Malleson N, Brunsdon C. gwverse: A Template for a New Generic Geographically Weighted R Package. Geographical Analysis. 2022;n/a(n/a).