卢宾宾

卢宾宾，武汉大学遥感信息工程学院地理国情监测教研室讲师。

教育经历：

2009.02‐2012.04爱尔兰国立大学梅努斯 爱尔兰国家地理计算中心 地理计算专业 博士

2006.09‐2009.01 北京大学 遥感与地理信息系统研究所 摄影测量与遥感 专业 硕士

2002.09‐2006.07 河南大学 数学与信息科学学院，数学与应用数学专业 学士

研究领域：空间分析，空间统计，地理加权模型，空间统计可视化

软件成果：

GWmodel: 以C语言和S+开发的R函数包，用于进行地理加权类模型的计算软件函数包

GWmodels ArcGIS函数工具箱：以GWmodel软件包为原型系统，应用Python语言为ArcGIS软件开发的工具箱。

shp2graph：以C语言和S+开发的R函数包，主要应用于道路网络数据的高效建模。

代表论文：

LU, B., CHARLTON, M., BRUNSDON, C. & HARRIS, P.2015. The Minkowski approach for choosing the distance metric in Geographically Weighted Regression. International Journal of Geographical Information Science.（In press）(SCI)

LU, B., HARRIS, P., CHARLTON, M. & BRUNSDON, C. 2015. Calibrating a Geographically Weighted Regression Model with Parameter-specific Distance Metrics. Procedia Environmental Sciences, 26, 109-114. (EI)

GOLLINI, I., LU, B., CHARLTON, M., BRUNSDON, C. & HARRIS, P. 2015. GWmodel: an R Package for Exploring Spatial Heterogeneity using Geographically Weighted Models. Journal of Statistical Software, 63, 1-50.(SCI)

LU, B., CHARLTON, M., HARRIS, P. & FOTHERINGHAM, A. S. 2014. Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science, 28, 660-681. (SCI)

LU, B., HARRIS, P., CHARLTON, M. & BRUNSDON, C. 2014. The GWmodel R package: further topics for exploring spatial heterogeneity using geographically weighted models. Geo-spatial Information Science, 17, 85-101.

LU, B., CHARLTON, M. & FOTHERINGHAM, A. S. 2011. Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data. Procedia Environmental Sciences, 7, 92-97.(EI)

Binbin Lu, Paul Harris, Isabella Gollini, Martin Charlton and Chris Brunsdon. Introducing the GWmodel R and python packages for modelling spatial heterogeneity, The 12th International Conference on GeoComputation, Wuhan, China, 23-25, May, 2013.

Binbin Lu, Paul Harris, Isabella Gollini, Martin Charlton and Chris Brunsdon. GWmodel: an R package for exploring spatial heterogeneity. GIS Research UK (GISRUK) conference 2013, University of Liverpool, Liverpool, UK, 2-3 April, 2013.

Binbin Lu, Martin Charlton, Paul Harris. Geographically Weighted Regression Using a Non-Euclidean Distance Metric with Simulation Data. The First International Conference on Agro-Geoinformatics, Shanghai, China, 2-4 August, 2012

Binbin Lu, Martin Charlton, A. Stewart Fotheringham. Distance metric selection for calibrating a geographically weighted regression model. The 11th International Conference on GeoComputation, London, UK, Jul 19-23, 2011

Binbin Lu, Martin Charlton. Convert a spatial network to a graph in R. The R User Conference 2011, Coventry, UK, August 16-18, 2011.

卢宾宾，刘岳峰，晏磊，焦龙. GIS－T 中动态对象时空操作算子设计，地理与地理信息科学,25(5), 2009, pp 108-109.

刘岳峰，卢宾宾，张伊波，刘婷. 基于对象版本管理方法的道路网络动态演变建模研究，北京大学学报, 45(3), 2009, pp 488-494.

期刊审稿人：

《International Journal of Geographical Information Science》，《Geographical Analysis》，《GIScience & Remote Sensing》，《Spatial Economic Analysis》，《Cornell Hospitality Quarterly》，《ISPRS International Journal ofGeo-Information》等

应邀报告：

Key Instructor for International workshop on modeling spatial heterogeneity with Geographically Weighted models, Maynooth, Ireland, 24-26 April 2013 （主要授课人之一）.

Invited lecture on “Geographically Weighted Regression Using a Non-Euclidean Distance Metric” by TRANSPORTRADE research network, Universidad Complutense de Madrid (马德里康普顿斯大学), 29th June, 2012

主持获奖情况：

2011.08，Conference bursary for The R User Conference 2011, from Centre for Research into Statistical Methodology (CRISM), University of Warwick.

2005，全国大学生数学建模竞赛国家一等奖

2004，全国大学生数学建模竞赛河南省一等奖

主持科研项目情况：

1、国家自然科学基金项目：基于非欧式空间距离度量的地理加权回归分析模型研究”, 2015.01-2017.12

2、武汉大学测绘遥感信息工程国家重点实验室开放基金项目：云环境下地理加权回归分析模型高性能求解，2015.01-2015.12