| The geography of Twitter topics in London G Lansley, PA Longley Computers, Environment and Urban Systems 58, 85-96, 2016 | 273 | 2016 |
| The geotemporal demographics of Twitter usage PA Longley, M Adnan, G Lansley Environment and Planning A 47 (2), 465-484, 2015 | 238 | 2015 |
| Deriving age and gender from forenames for consumer analytics G Lansley, P Longley Journal of Retailing and Consumer Services 30, 271-278, 2016 | 53 | 2016 |
| Cars and socio-economics: understanding neighbourhood variations in car characteristics from administrative data G Lansley Regional Studies, Regional Science 3 (1), 264-285, 2016 | 39 | 2016 |
| Improved targeted outdoor advertising based on geotagged social media data J Lai, T Cheng, G Lansley Annals of GIS 23 (4), 237-250, 2017 | 38 | 2017 |
| Creating a linked consumer register for granular demographic analysis G Lansley, W Li, PA Longley Journal of the Royal Statistical Society Series A: Statistics in Society 182 …, 2019 | 34 | 2019 |
| Big Data and Geospatial Analysis G Lansley, M de Smith, M Goodchild, P Longley Geospatial Analysis: A comprehensive guide to principles, techniques and …, 2018 | 22 | 2018 |
| A name‐led approach to profile urban places based on geotagged Twitter data J Lai, G Lansley, J Haworth, T Cheng Transactions in GIS 24 (4), 858-879, 2020 | 17 | 2020 |
| A geodemographic analysis of the ethnicity and identity of Twitter users in Greater London M Adnan, G Lansley, PA Longley Proceedings of the 21st Conference on GIS Research UK (GISRUK) 44, 1-6, 2013 | 16 | 2013 |
| Using linked consumer registers to estimate residential moves in the United Kingdom JT van Dijk, G Lansley, PA Longley Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021 | 15 | 2021 |
| Challenges to representing the population from new forms of consumer data G Lansley, J Cheshire Geography Compass 12 (7), e12374, 2018 | 15 | 2018 |
| An Introduction to Spatial Data Analysis and Visualisation in R G Lansley, J Cheshire Geographical Analysis, 2016 | 15 | 2016 |
| Geotemporal Twitter Demographics A Leak, G Lansley Consumer Data Research, 153-177, 2018 | 11 | 2018 |
| Opportunities for retail data and their geographic integration in social science G Lansley, P Longley Big Data for Regional Science, 2018 | 9* | 2018 |
| Quantifying state-led gentrification in London: Using linked consumer and administrative records to trace displacement from council estates J Reades, L Lees, P Hubbard, G Lansley Environment and Planning A: Economy and Space 55 (4), 810-827, 2023 | 6 | 2023 |
| Representing Population Dynamics from Administrative and Consumer Registers G Lansley, W Li, P Longley Proceedings of the 25th Conference on GIS Research UK (GISRUK), 2017 | 6 | 2017 |
| Spatio-Temporal Patterns of Passengers’ Interests at London Tube Stations J Lai, T Cheng, G Lansley Proceedings of GISRUK 2015, 2015 | 5 | 2015 |
| Creating an Output Area Classification of Cultural and Ethnic Heritage to Assist the Planning of Ethnic Origin Foods in Supermarkets in England and Wales G Lansley, Y Wei, T Rains Proceedings of the 23rd Conference on GIS Research UK, 2015 | 4 | 2015 |
| Identifying the Major Traits of Ethnic Clustering in England and Wales from the 2011 Census G Lansley, Y Wei, T Rains The Consumer Data Research Centre Working Paper Series, Paper 01, 2015 | 4 | 2015 |
| Consumer Registers as Spatial Data Infrastructure and their Use in Migration and Residential Mobility Research G Lansley, W Li Consumer Data Research, 15-27, 2018 | 3 | 2018 |
Paul LongleyProfessor of Geographic Information Science, University College London在 ucl.ac.uk 的电子邮件经过验证
