Peer Reviewed Journals

Lan, T., O’Brien, O., Cheshire, J., Singleton, A., & Longley, P. (2022). From Data to Narratives: Scrutinising the Spatial Dimensions of Social and Cultural Phenomena Through Lenses of Interactive Web Mapping. Journal of Geovisualization and Spatial Analysis, 6(2).
Macdonald, J. L., Dolega, L., & Singleton, A. (2022). An open source delineation and hierarchical classification of UK retail agglomerations. Scientific Data, 9(1).
Spielman, S. E., & Singleton, A. D. (2022). A Generalized Model of Activity Space. Annals of the American Association of Geographers, 1–18.
Ballantyne, P., Singleton, A., & Dolega, L. (2021). A regional exploration of retail visits during the COVID-19 pandemic. Regional Studies, Regional Science, 8(1), 366–370.
Calafiore, A., Palmer, G., Comber, S., Arribas-Bel, D., & Singleton, A. (2021). A geographic data science framework for the functional and contextual analysis of human dynamics within global cities. Computers, Environment and Urban Systems, 85, 101539.
Green, M., Musi, E., Rowe, F., Charles, D., Pollock, F. D., Kypridemos, C., Morse, A., Rossini, P., Tulloch, J., Davies, A., Dearden, E., Maheswaran, H., Singleton, A., Vivancos, R., & Sheard, S. (2021). Identifying how COVID-19-related misinformation reacts to the announcement of the UK national lockdown: An interrupted time-series study. Big Data &Amp$\mathsemicolon$ Society, 8(1), 205395172110138.
Palmer, G., Green, M., Boyland, E., Vasconcelos, Y. S. R., Savani, R., & Singleton, A. (2021). A deep learning approach to identify unhealthy advertisements in street view images. Scientific Reports, 11(1).
Yao, L., Singleton, A., Sun, P., & Dong, G. (2021). The Evolution Characteristics and Influence Mechanism of Chinese Venture Capital Spatial Agglomeration. International Journal of Environmental Research and Public Health, 18(6), 2974.
Chen, M., Arribas-Bel, D., & Singleton, A. (2020). Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition. ISPRS International Journal of Geo-Information, 9(4), 264.
Comber, S., Arribas-Bel, D., Singleton, A., & Dolega, L. (2020). Using convolutional autoencoders to extract visual features of leisure and retail environments. Landscape and Urban Planning, 202, 103887.
Liu, Y., Singleton, A., & Arribas-Bel, D. (2020). Considering context and dynamics: A classification of transit-orientated development for New York City. Journal of Transport Geography, 85, 102711.
Singleton, A., Alexiou, A., & Savani, R. (2020). Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation. Computers, Environment and Urban Systems, 82, 101486.
Singleton, A., & Singleton, A. (2020). Using loyalty card records and machine learning to understand how self-medication purchasing behaviours vary seasonally in England, 2012–2014. Applied Marketing Analytics.
Chen, M., Arribas-Bel, D., & Singleton, A. (2019). Understanding the dynamics of urban areas of interest through volunteered geographic information. Journal of Geographical Systems, 21(1), 89–109.
Comber, S., Arribas-Bel, D., Singleton, A., Dong, G., & Dolega, L. (2019). Building Hierarchies of Retail Centers Using Bayesian Multilevel Models. Annals of the American Association of Geographers, 110(4), 1150–1173.
Daras, K., Green, M. A., Davies, A., Barr, B., & Singleton, A. (2019). Open data on health-related neighbourhood features in Great Britain. Scientific Data, 6(1), 107.
Dolega, L., Reynolds, J., Singleton, A., & Pavlis, M. (2019). Beyond retail: New ways of classifying UK shopping and consumption spaces. Environment and Planning B: Urban Analytics and City Science.
Liu, Y., Singleton, A., & Arribas-Bel, D. (2019). A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification. Geo-Spatial Information Science, 22(4), 251–264.
Singleton, A. D., & Longley, P. A. (2019). Data infrastructure requirements for new geodemographic classifications: The example of London’s workplace zones. Applied Geography, 109.
Singleton, A., & Arribas-Bel, D. (2019). Geographic Data Science. Geographical Analysis.
Davies, A., Green, M. A., & Singleton, A. D. (2018). Using machine learning to investigate self-medication purchasing in England via high street retailer loyalty card data. PLoS ONE, 13(11).
Green, M. A., Daras, K., Davies, A., Barr, B., & Singleton, A. (2018). Developing an openly accessible multi-dimensional small area index of ?Access to Healthy Assets and Hazards? For Great Britain, 2016. Health and Place, 54, 11–19.
Pavlis, M., Dolega, L., & Singleton, A. (2018). A Modified DBSCAN Clustering Method to Estimate Retail Center Extent. Geographical Analysis, 50(2), 141–161.
Thiele, T., Pope, D., Singleton, A., & Stanistreet, D. (2018). Exploring the use of mixed methods in research and evaluation of widening participation interventions: Guidance for practitioners. Widening Participation and Lifelong Learning, 20(4), 7–38.
Harris, R., O?Sullivan, D., Gahegan, M., Charlton, M., Comber, L., Longley, P., Brunsdon, C., Malleson, N., Heppenstall, A., Singleton, A., Arribas-Bel, D., & Evans, A. (2017). More bark than bytes? Reflections on 21+ years of geocomputation. Environment and Planning B: Urban Analytics and City Science, 44(4), 598–617.
Thiele, T., Pope, D., Singleton, A., Snape, D., & Stanistreet, D. (2017). Experience of disadvantage: The influence of identity on engagement in working class students? Educational trajectories to an elite university. British Educational Research Journal, 43(1), 49–67.
Alexiou, A., Singleton, A., & Longley, P. A. (2016). A classification of multidimensional open data for urban morphology. Built Environment, 42(3), 382–395.
Dolega, L., Pavlis, M., & Singleton, A. (2016). Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations. Journal of Retailing and Consumer Services, 28, 78–90.
Gale, C. G., Singleton, A. D., Bates, A. G., & Longley, P. A. (2016). Creating the 2011 area classification for output areas (2011 OAC). Journal of Spatial Information Science, 12(2016), 1–27.
Lloyd, C. D., Catney, G., & Singleton, A. (2016). Guest Editorial: Modelling Urban Behaviour. Applied Spatial Analysis and Policy, 9(2), 141–143.
Singleton, A. D., Dolega, L., Riddlesden, D., & Longley, P. A. (2016). Measuring the spatial vulnerability of retail centres to online consumption through a framework of e-resilience. Geoforum, 69, 5–18.
Singleton, A. D., Spielman, S., & Brunsdon, C. (2016). Establishing a framework for Open Geographic Information science. International Journal of Geographical Information Science, 30(8), 1507–1521.
Singleton, A., Pavlis, M., & Longley, P. A. (2016). The stability of geodemographic cluster assignments over an intercensal period. Journal of Geographical Systems, 18(2), 97–123.
Thiele, T., Pope, D., Singleton, A., & Stanistreet, D. (2016). Role of students’ context in predicting academic performance at a medical school: A retrospective cohort study. BMJ Open, 6(3).
Rae, A., & Singleton, A. (2015). Putting big data in its place: A regional studies and regional science perspective. Regional Studies, Regional Science, 2(1), 1–5.
Singleton, A. D. (2015). Featured graphic. Transport mode choice and the commute to work. Environment and Planning A, 47(7), 1401–1403.
Singleton, A. D., & Longley, P. (2015). The internal structure of Greater London: A comparison of national and regional geodemographic models. Geo: Geography and Environment, 2(1), 69–87.
Spielman, S. E., & Singleton, A. (2015). Studying Neighborhoods Using Uncertain Data from the American Community Survey: A Contextual Approach. Annals of the Association of American Geographers, 105(5), 1003–1025.
Bearman, N., & Singleton, A. D. (2014). Modelling the potential impact on CO2 emissions of an increased uptake of active travel for the home to school commute using individual level data. Journal of Transport and Health, 1(4), 295–304.
Harris, R., Nicholas, T., Souch, C., Singleton, A., Orford, S., Keylock, C., Jarvis, C., & Brunsdon, C. (2014). Geographers Count: A Report on Quantitative Methods in Geography. Enhancing Learning in the Social Sciences, 6(2), 43–58.
Rae, A., & Singleton, A. (2014). Open access and regional studies, regional science. Regional Studies, Regional Science, 1(1), 1–4.
Riddlesden, D., & Singleton, A. D. (2014). Broadband speed equity: A new digital divide? Applied Geography, 52, 25–33.
Singleton, A. (2014). A GIS approach to modelling CO2 emissions associated with the pupil-school commute. International Journal of Geographical Information Science, 28(2), 256–273.
Singleton, A. D., & Spielman, S. E. (2014). The Past, Present, and Future of Geodemographic Research in the United States and United Kingdom. Professional Geographer, 66(4), 558–567.
Singleton, A., & Brunsdon, C. (2014). Escaping the pushpin paradigm in geographic information science: (Re)presenting national crime data. Area, 46(3), 294–304.
Thiele, T., Singleton, A., Pope, D., & Stanistreet, D. (2014). Predicting students’ academic performance based on school and socio-demographic characteristics. Studies in Higher Education, 41(8), 1424–1446.
Adnan, M., Longley, P. A., & Singleton, A. D. (2013). OACoder: Postcode Coding Tool. Journal of Open Research Software, 1(1), e5.
Phillips, R., Frost, D., & Singleton, A. (2013). Researching the riots. Geographical Journal, 179(1), 3–10.
Riddlesden, D., Singleton, A. D., & Fischer, T. B. (2012). A survey of the use of geographic information systems in english local authority impact assessments. Journal of Environmental Assessment Policy and Management, 14(1).
Singleton, A. D. (2012). The geodemographics of access and participation in Geography. Geographical Journal, 178(3), 216–229.
Singleton, A. D., Wilson, A. G., & O’Brien, O. (2012). Geodemographics and spatial interaction: An integrated model for higher education. Journal of Geographical Systems, 14(2), 223–241.
Brunsdon, C., Longley, P., Singleton, A., & Ashby, D. (2011). Predicting participation in higher education: A comparative evaluation of the performance of geodemographic classifications. Journal of the Royal Statistical Society. Series A: Statistics in Society, 174(1), 17–30.
Mateos, P., Smith, M. de, & Singleton, A. A. (2011). Developments in Quantitative Human Geography, Urban Modelling, and Geographic Information Science. Transactions in GIS, 15(3), 249–252.
Singleton, A. D., & Lewis, D. J. (2011). Including Accident Information in Automatic Bicycle Route Planning for Urban Areas. Urban Studies Research, 2011, 1–10.
Singleton, A. D., Longley, P. A., Allen, R., & O’Brien, O. (2011). Estimating secondary school catchment areas and the spatial equity of access. Computers, Environment and Urban Systems, 35(3), 241–249.
Adnan, M., Longley, P. A., Singleton, A. D., & Brunsdon, C. (2010). Towards real-time geodemographics: Clustering algorithm performance for large multidimensional spatial databases. Transactions in GIS, 14(3), 283–297.
Cheshire, J. A., Longley, P. A., & Singleton, A. D. (2010). The surname regions of Great Britain. Journal of Maps, 6, 401–409.
Harris, R., Singleton, A., Grose, D., Brunsdon, C., & Longley, P. (2010). Grid-enabling geographically weighted regression: A case study of participation in higher education in England. Transactions in GIS, 14(1), 43–61.
Longley, P. A., Singleton, A. D., Yano, K., & Nakaya, T. (2010). Lost in translation: Cross-cultural experiences in teaching geo-genealogy. Journal of Geography in Higher Education, 34(1), 21–38.
Singleton, A. D. (2010). The geodemographics of educational progression and their implications for widening participation in higher education. Environment and Planning A, 42(11), 2560–2580.
Longley, P. A., & Singleton, A. D. (2009). Classification through consultation: Public views of the geography of the e-Society. International Journal of Geographical Information Science, 23(6), 737–763.
Longley, P. A., & Singleton, A. D. (2009). Linking social deprivation and digital exclusion in England. Urban Studies, 46(7), 1275–1298.
Mateos, P., Singleton, A., & Longley, P. (2009). Uncertainty in the analysis of ethnicity classifications: Issues of extent and aggregation of ethnic groups. Journal of Ethnic and Migration Studies, 35(9), 1437–1460.
Singleton, A. D. (2009). Data mining course choice sets and behaviours for target marketing of higher education. Journal of Targeting, Measurement and Analysis for Marketing, 17(3), 157–170.
Singleton, A. D., & Longley, P. A. (2009). Creating open source geodemographics: Refining a national classification of census output areas for applications in higher education. Papers in Regional Science, 88(3), 643–666.
Singleton, A. D., & Longley, P. A. (2009). Geodemographics, visualisation, and social networks in applied geography. Applied Geography, 29(3), 289–298.
Gibin, M., Singleton, A., Milton, R., Mateos, P., & Longley, P. (2008). An Exploratory Cartographic Visualisation of London through the Google Maps API. Applied Spatial Analysis and Policy, 1(2), 85–97.
Haklay, M., Singleton, A., & Parker, C. (2008). Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass, 2(6), 2011–2039.