Lu, Binbin, Brunsdon, Chris, Charlton, Martin and Harris, Paul (2019) A response to ‘A comment on geographically weighted regression with parameter-specific distance metrics’. International Journal of Geographical Information Science, 33 (7). pp. 1300-1312. ISSN 1365-8816
Murakami, Daisuke, Lu, Binbin, Harris, Paul, Brunsdon, Chris, Charlton, Martin, Nakaya, Tomoki and Griffith, Daniel A. (2018) The Importance of Scale in Spatially Varying Coefficient Modeling. Annals of the American Association of Geographers, 109 (1). pp. 50-70. ISSN 2469-4452
Lu, Binbin, Sun, Huabo, Harris, Paul, Xu, Miaozhong and Charlton, Martin (2018) Shp2graph: Tools to Convert a Spatial Network into an Igraph Graph in R. ISPRS International Journal of Geo-Information, 7 (8). ISSN 2220-9964
Lu, Binbin, Brunsdon, Chris, Charlton, Martin and Harris, Paul (2017) Geographically weighted regression with parameter-specific distance metrics. International Journal of Geographical Information Science, 31 (5). pp. 982-998. ISSN 1365-8816
Harris, Paul, Brunsdon, Chris, Lu, Binbin, Nakaya, Tomoki and Charlton, Martin (2017) Introducing bootstrap methods to investigate coefficient non-stationarity in spatial regression models. Spatial Statistics, 21 (1). pp. 241-261. ISSN 2211-6753
Lu, Binbin, Harris, Paul, Charlton, Martin and Brunsdon, Chris (2015) Calibrating a Geographically Weighted Regression Model with Parameter-Specific Distance Metrics. Procedia Environmental Sciences, 26. pp. 110-115. ISSN 1878-0296
Gollini, Isabella, Lu, Binbin, Charlton, Martin, Brunsdon, Chris and Harris, Paul (2015) GWmodel: An R Package for Exploring Spatial Heterogeneity Using Geographically Weighted Models. Journal of Statistical Software, 63. pp. 1-50. ISSN 1548-7660
Lu, Binbin, Charlton, Martin, Brunsdon, Chris and Harris, Paul (2015) The Minkowski approach for choosing the distance metric in geographically weighted regression. International Journal of Geographical Information Science, 30 (2). pp. 1-18. ISSN 1365-8824
Lu, Binbin, Charlton, Martin, Harris, Paul and Fotheringham, Stewart (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 (4). pp. 660-681. ISSN 1365-8816
Lu, Binbin, Harris, Paul, Charlton, Martin and Brunsdon, Chris (2013) The GWmodel R package: Further Topics for Exploring Spatial Heterogeneity using Geographically Weighted Models. Geo-spatial Information Science, 17 (2). ISSN 1993-5153
Lu, Binbin, Harris, Paul, Gollini, Isabella, Charlton, Martin and Brunsdon, Chris (2013) Introducing the GWmodel R and python packages for modelling spatial heterogeneity. Proceedings of the 12th International Conference on GeoComputation.
Lu, Binbin, Charlton, Martin and Fotheringham, Stewart (2011) Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data. Procedia Environmental Sciences, 7. pp. 92-97. ISSN 1878-0296
Lu, Binbin, Harris, Paul, Charlton, Martin, Brunsdon, Chris, Nakaya, Tomoki and Gollini, Isabella (2015) Package ‘GWmodel’. Documentation. National University of Ireland Maynooth. (Unpublished)
Lu, Binbin, Charlton, Martin and Fotheringham, Stewart (2012) Geographically Weighted Regression using a non-euclidean distance metric with simulation data. In: Agro-Geoinformatics (Agro-Geoinformatics), 2012 First International Conference on, 2-4 August, 2012, Shangai, China.
Lu, Binbin (2012) Geographically weighted Regression with non-Euclidean distance metrics. PhD thesis, National University of Ireland Maynooth.