盧賓賓，武漢大學遙感信息工程學院地理國情監測教研室講師。
基本介紹
教育經歷：
2009.02‐2012.04 愛爾蘭國立大學梅努斯 愛爾蘭國家地理計算中心 地理計算專業 博士
2006.09‐2009.01 北京大學 遙感與地理信息系統研究所 攝影測量與遙感 專業 碩士
研究領域：空間分析，空間統計，地理加權模型，空間統計可視化
軟體成果：
GWmodel: 以C語言和S+開發的R函式包，用於進行地理加權類模型的計算軟體函式包
GWmodels ArcGIS函式工具箱：以GWmodel軟體包為原型系統，套用Python語言為ArcGIS軟體開發的工具箱。
shp2graph：以C語言和S+開發的R函式包，主要套用於道路網路數據的高效建模。
代表論文：
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.
盧賓賓，劉岳峰，晏磊，焦龍. GIS－T 中動態對象時空操作運算元設計，地理與地理信息科學,25(5), 2009, pp 108-109.
劉岳峰，盧賓賓，張伊波，劉婷. 基於對象版本管理方法的道路網路動態演變建模研究，北京大學學報, 45(3), 2009, pp 488-494.
期刊審稿人：
《International Journal of Geographical Information Science》，《Geographical Analysis》，《GIScience & Remote Sensing》，《Spatial Economic Analysis》，《Cornell Hospitality Quarterly》，《ISPRS International Journal ofGeo-Information》等
應邀報告：
Key Instructor for International workshop on modeling spatial heterogeneity with Geographically Weighted models, Maynooth, Ireland, 24-26 April 2013 （主要授課人之一）.
Invited lecture on “Geographically Weighted Regression Using a Non-Euclidean Distance Metric” by TRANSPORTRADE research network, Universidad Complutense de Madrid (馬德里康普頓斯大學), 29th June, 2012
主持獲獎情況：
2011.08，Conference bursary for The R User Conference 2011, from Centre for Research into Statistical Methodology (CRISM), University of Warwick.
2005，全國大學生數學建模競賽國家一等獎
2004，全國大學生數學建模競賽河南省一等獎
主持科研項目情況：
1、國家自然科學基金項目：基於非歐式空間距離度量的地理加權回歸分析模型研究”, 2015.01-2017.12
2、武漢大學測繪遙感信息工程國家重點實驗室開放基金項目：雲環境下地理加權回歸分析模型高性能求解，2015.01-2015.12
