Scientific journals

  • Fleischmann, M., & Arribas-Bel, D. (2024). “Decoding (urban) form and function using spatially explicit deep learning”. Computers, Environment and Urban Systems, 112, 102147. 10.1016/j.compenvurbsys.2024.102147

  • Malleson, N., Franklin, R., Arribas-Bel, D., Cheng, T., & Birkin, M. (2024). “Digital twins on trial: Can they actually solve wicked societal problems and change the world for better?” Environment and Planning B: Urban Analytics and City Science, 51(6), 1181-1186. 10.1177/23998083241262893

  • Kenyon, G.E.; Arribas-Bel, D.; Robinson, C. (2024). “Extracting Features from Satellite Imagery to Understand the Size and Scale of Housing Sub-Markets in Madrid”. Land, 13, 575. 10.3390/land13050575

  • Kenyon, G.E., Arribas-Bel, D., Robinson, C. et al. (2024). “Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality”. npj Urban Sustain 4, 26 (2024). 10.1038/s42949-024-00161-0

  • Arribas-Bel, D., & Fleischmann, M. (2024). “In praise of (spatial) bundles”. Environment and Planning B: Urban Analytics and City Science, 23998083231224151.

  • Calafiore, A.; Samardzhiev, K.; Rowe, F.; Fleischmann, M.; Arribas-Bel, D. (2023) “Inequalities in experiencing urban functions. An exploration of human digital (geo-)footprints”. Environment and Planning B - Urban Analytics and City Science. 10.1177/23998083231208507.

  • Salat, H.; Carlino, D.; Benitez-Paez, F.; Zanchetta, A.; Arribas-Bel, D.; Birkin, M. (2023) “Synthetic population Catalyst: A micro-simulated population of England with circadian activities”. Environment and Planning B - Urban Analytics and City Science. 10.1177/23998083231203066.

  • Murphy, J.; Plater, A.; Bird, C.; Arribas-Bel, D. (2023) “Spatial-temporal variability: characterisation of a beach system using high resolution radar data”. Frontiers in Marine Science. Vol. 10. 10.3389/fmars.2023.1142077.

  • Owen, D.; Arribas-Bel, D.; Rowe, F. (2023). “Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago”. Sustainability, 15(11). \ 10.3390/su15118821.

  • Arribas-Bel, D.; Fleischmann, M. (2022). “Spatial Signatures - Understanding (urban) spaces through form and function”. Habitat International, 128. 10.1016/j.habitatint.2022.102641.

  • Fleischmann, M.; Arribas-Bel, D. (2022). “Geographical characterisation of British urban form and function using the spatial signatures framework”. Scientific Data, 9, 546. 10.1038/s41597-022-01640-8.

  • Rowe, F.; Calafiore, A.; Arribas-Bel, D.; Samardzhiev, K.; Fleischmann, M. (2022). “Urban exodus? Understanding human mobility in Britain during the COVID-19 pandemic using Meta-Facebook data”. *Population, Space and Place, 29, e2637. 10.1002/psp.2637.

  • Patias, N.; Rowe, F.; Arribas-Bel, D. (2022). “Local urban attributes defining ethnically segregated areas across English cities: A multilevel approach”. Cities, 132. 10.1016/j.cities.2022.103967.

  • Samardzhiev, K.; Fleischmann, M.; Arribas-Bel, D.; Calafiore, A.; Rowe, F. (2022). “Functional signatures in Great Britain: A dataset”. Data in Brief, 43. 10.1016/j.dib.2022.108335

  • Comber, S.; Park, S.; Arribas-Bel, D. “Dynamic-IMD (D-IMD): Introducing activity spaces to deprivation measurement in London, Birmingham and Liverpool”. (2022). Cities, 127. 10.1016/j.cities.2022.103733

  • Chen, M.; Liu, Y.; Arribas-Bel, D.; Singleton, A. (2022). “Assessing the value of user-generated images of urban surroundings for house price estimation”. Landscape and Urban Planning, 226. 10.1016/j.landurbplan.2022.104486

  • Singleton, A.; Arribas-Bel, D.; Murray, J.; Fleischmann, M. (2022). “Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network”. Computers, Environment and Urban Systems, 95. 10.1016/j.compenvurbsys.2022.101802

  • Arribas-Bel, D., Alvanides, S., Batty, M., Crooks, A., See, L., & Wolf, L. (2021). “Urban data/code: A new EP-B section”. Environment and Planning B - Urban Analytics and City Science, 48(9), 2517-2519. 10.1177/23998083211059670.

  • Patias, N.; Rowe, F.; Arribas-Bel, D. (2021). “Trajectories of neighbourhood inequality in Britain: Unpacking inter-regional socioeconomic imbalances, 1971-2011”. The Geographical Journal. 10.1111/geoj.12420.

  • Arribas-Bel, D.; Green, M.; Rowe, F.; Singleton, A. (2021). “Open data products-A framework for creating valuable analysis ready data”. Journal of Geographical Systems. 10.1007/s10109-021-00363-5

  • Rey, S. J.; Anselin, L.; Amaral, P.; Arribas-Bel, D.; Cortes, R. X.; Gaboardi, J. D.; Kang, W.; Knaap, E.; Li, Z.; Lumnitz, S.; Oshan, T. M.; Shao, H.; Wolf, L. J. (2021). “The PySAL Ecosystem: Philosophy and Implementation”. Geographical Analysis. 10.1111/gean.12276

  • Wolf, L. J.; Anselin, L.; Arribas-Bel, D.; Mobley, L. R. (2021). “On Spatial and Platial Dependence: Examining Shrinkage in Spatially Dependent Multilevel Models”. Annals of the American Association of Geographers.

  • Patias, N.; Rowe, F.; Cavazzi, S.; Arribas-Bel, D. (2021). “Sustainable urban development indicators in Great Britain from 2001 to 2016”. Landscape and Urban Planning, 214. 0169-2046. https://doi.org/10.1016/j.landurbplan.2021.104148

  • Puente-Ajovin, M.; Ramos, A.; Sanz-Gracia, F.; Arribas-Bel, D. (2021) “How sensitive is city size distribution to the definition of city? The case of Spain”. Economics Letters.

  • Liu, Y.; Singleton, A.; Arribas-Bel, D.; Chen, M. (2021) “Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City”. Computers, Environment and Urban Systems, 86. j.compenvurbsys.2020.101592

  • Calafiore, A.; Palmer, G.; Comber, S.; Arribas-Bel, D.; Singleton, A. “A geographic data science framework for the functional and contextual analysis of human dynamics within global cities”. Computers, Environment and Urban Systems, 85. j.compenvurbsys.2020.101539

  • Arribas-Bel, D.; Garcia-Lopez, M.-A.; Viladecans-Marsal, E. (2021) “Building(s and) cities: Delineating urban areas with a machine learning algorithm”. Journal of Urban Economics. 10.1016/j.jue.2019.103217

  • 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.

  • Thompson, R. N.; Hollingsworth, T. D; Isham, V.; Arribas-Bel, D.; Ashby, B.; Britton, T.; Challenor, P.; Chappell, L. H. K.; Clapham, H.; Cunniffe, N. J.; Dawid, A. P.; Donnelly, C. A.; Eggo, R. M.; Funk, S.; Gilbert, N.; Glendinning, P.; Gog, J. R.; Hart, W. S.; Heesterbeek, H.; House, T.; Keeling, M.; Kiss, I. Z.; Kretzschmar, M. E.; Lloyd, A. L.; McBryde, E. S.; McCaw, J. M.; McKinley, T. J.; Miller, J. C.; Morris, M.; O’Neill, P. D.; Parag, K. V.; Pearson, C. A. B.; Pellis, L.; Pulliam, J. R. C.; Ross, J. V.; Tomba, G. S.; Silverman, B. W.; Struchiner, C. J.; Tildesley, M. J.; Trapman, P.; Webb, C. R.; Mollison, D.; Restif, O. (2020) “Key questions for modelling COVID-19 exit strategies”. Proceedings of the Royal Society B: Biological Sciences. 287(1932), 20201405. 10.1098/rspb.2020.1405

  • Franklin, R.; Houlden, V.; Robinson, C.; Arribas-Bel, D.; Delmelle, E. C.; Demsar,U.; Miller, H. J.; O’Sullivan, D. (2020) “Who Counts? Gender, Gatekeeping, and Quantitative Human Geography”. The Professional Geographer.

  • Boeing, G.; Arribas-Bel, D. (2020) “GIS and Computational Notebooks”. The Geographic Information Science & Technology Body of Knowledge (1st Quarter 2021 Edition), John P. Wilson (Ed.). DOI: 10.22224/gistbok/2021.1.2

  • Rowe, F., Maier, G., Arribas-Bel, D., & Rey, S.. “The Potential of Notebooks for Scientific Publication, Reproducibility and Dissemination”. REGION, 7(3), E1-E5. DOI: 10.18335/region.v7i3.357

  • Chen, M., Fahrner, D., Arribas-Bel, D. & Rowe, F. “A reproducible notebook to acquire, process and analyse satellite imagery”, REGION, 7(2), pp. R15-R46. DOI: 10.18335/region.v7i2.295

  • Olson, A. W.; Zhang, K.; Calderon-Figueroa, F.; Yakubov, R.; Sanner, S.; Silver,D.; Arribas-Bel, D. (2020) “Classification and Regression via Integer Optimization forNeighborhood Change”. Geographical Analysis. 10.1111/gean.12252

  • Liu, Y.; Singleton, A.; Arribas-Bel, D. (2020) ``Considering Context and Dynamics: A Classification of Transit-Oriented Development for New York City''. Journal of Transport Geography, 85. 10.1016/j.jtrangeo.2020.102711

  • Chen, M.; Arribas-Bel, D.; Singleton, A. (2020) Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition. ISPRS Int. J. Geo-Inf. 2020, 9, 264.

  • Lumnitz, S; Arribas-Bel, D.; Cortes, R. X.; Gaboardi, J. D.; Griess, V.; Kang, W.; Oshan, T. M.; Wolf, L.; Rey, S., (2020). splot - visual analytics for spatial statistics. Journal of Open Source Software, 5(47), 1882, https://doi.org/10.21105/joss.01882

  • 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. 10.1080/24694452.2019.1667219

  • Singleton, A.; Arribas-Bel, D. (2019) “Geographic Data Science”. Geographical Analysis.10.1111/gean.12194

  • Stubbings, P.; Peskett, J.; Rowe, F.; Arribas-Bel, D. (2019) “A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning”. Remote Sensing, 11(12). 10.3390/rs11121395

  • Arribas-Bel, D. “A course on Geographic Data Science”. The Journal of Open Source Education, 2(14), 42. doi: 10.21105/jose.00042

  • Comber, S.; Arribas-Bel, D. (2019) “Machine learning innovations in address matching: A practical comparison of word2vec and CRFs”. Transactions in GIS, 23 (2): 334–348.

  • Liu, Y.; Singleton, A.; Arribas-Bel, D. (2019) “A principal component analysis (PCA)based framework for automated variable selection in geodemographic classifications”. Geo-spatial Information Science. 10.1080/10095020.2019.1621549

  • Davies, A. E.; Dolega, L.; Arribas-Bel, D. (2019) “Buy online collect in-store: Exploring grocery click & collect using a national case study”. International Journal of Retail and Distribution Management.

  • Chen, M; Arribas-Bel, D.; Singleton, A. (2019) “Understanding the dynamics of urban areas of interest through volunteered geographic information”. Journal of Geographical Systems.

  • Dong, G.; Alexiou, A.; Arribas-Bel, D.; Wolf, L.J. (2019) “Inferring neighbourhood
    quality with property transaction records by using a locally adaptive spatial multi-level model”. Computers, Environment and Urban Systems.

  • Arribas-Bel, D.; Reades, J. (2018) “Geography and Computers: Past, present, and future”. Geography Compass.

  • Arribas-Bel, D.; Bakens, J. (2018) “Use and Validation of Location-Based Services in Urban Research: An Example with Dutch Restaurants”. Urban Studies.

  • Arribas-Bel, D.; Bakens, J. (2018) “Spatial dynamics of cultural diversity in the Netherlands”. Environment and Planning B - Urban Analytics and City Science. doi: 10.1177/2399808318783748

  • Arribas-Bel, D.; Tranos, E. (2018) “Big Urban Data: Challenges and Opportunities for Geographical Analysis”. Editorial. Geographical Analysis.

  • Arribas-Bel, D.; Tranos, E. (2017). “Characterizing the Spatial Structure(s) of Cities “on the fly”: the Space-Time Calendar”. Geographical Analysis.

  • Arribas-Bel D., Patino J.E., Duque J.C. (2017). “Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning”. PLOS ONE. 12(5): e0176684.

  • Gerritse, M.; Arribas-Bel, D. (2017) “Concrete agglomeration benefits: do roads improve urban connections or just attract more people?”. Regional Studies.

  • Wolf, L.; Anselin, L.; Arribas-Bel, D. (2017). “Stochastic Efficiency of Bayesian MCMC in Spatial Econometric Models: An Empirical Comparison”. Geographical Analysis.

  • Comber, S., Arribas-Bel D. “’Waiting on the train’: The anticipatory (causal) effects of Crossrail in Ealing”. Journal of Transport Geography. Vol. 64.

  • 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.

  • Arribas-Bel, D., T. de Graaff and S.J. Rey (2017). “Looking at John Snow’s cholera map from the XXIst century: a practical primer on Reproducibility and Open Science”. In: Regional Research Fontiers (R.W. Jackson and P. Schaeffer, eds.). Springer.

  • Arribas-Bel, D., Nijkamp, P. and Poot, J. (2016). “How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model”. Environment and Planning A. Vol. 48, No. 10.

  • Folch, D.; Arribas-Bel, D.; Koschinsky, K; Spielman, S. (2016). “Spatial Variation in the Quality of American Community Survey Estimates”. Demography. 53: 1535.

  • Arribas-Bel, D.; Kourtit, K.; Nijkamp, P. (2015) “Socio-Cultural Diversity and Urban Buzz”. Environment and Planning C – Government and Policy, 33: 1-17.

  • Arribas-Bel, D.; Gerrtise, M. (2015) “From manufacturing belt, to rust belt, to college country - A Visual Narrative of the US Urban Growth”. Environment and Planning A, 47(6): 1241-1253.

  • Arribas-Bel, D. (2015) “The spoken postcodes”. Regional Studies, Regional Science, 2(1): 457-460.

  • Arribas-Bel, D., Graaff, T. (2015) “WooW-II: Workshop on open workflows”. REGION, 2(2): R1-R2.

  • Arribas-Bel, D.; Ramos, A.; Sanz Gracia, F. (2015) “The size distribution of employment centers within the U.S. Metropolitan Areas”. Environment and Planning B – Planning and Design, 42: 23-39.

  • Arribas-Bel, D.; Kourtit, K.; Nijkamp, P.; Steenbruggen, J. (2015) “Cyber Cities: Social Media as a Tool for Understanding Cities”. Applied Spatial Analysis and Policy.

  • Arribas-Bel, D.; Sanz Gracia, F. (2014) “The Validity of the Monocentric City Model in a Polycentric Age: US Metropolitan areas in 1990, 2000 and 2010”. Urban Geography, 35(7): 980-997.

  • Arribas-Bel, D. (2014) “Spatial Data, Analysis, and Regression - A mini course”. REGION, 1(1): R1.

  • Kourtit, K.; Nijkamp, P.; Arribas-Bel, D. (2014) “Migrant Entrepreneurs as Urban ‘Health Angels’ – Contrasts in Growth Strategies”. International Planning Studies.

  • Arribas-Bel, D. (2014) “Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities”. Applied Geography, 49: 45-53.

  • Arribas-Bel, D., Schmidt, C. R. (2013). “Self-organizing maps and the US urban spatial structure” Environment and Planning B, 2: 362-371.

  • Arribas-Bel, D., Kourtit, K., Nijkamp, P. (2013). “Benchmarking of World cities through self-organizing maps” Cities, 31: 248-257.

  • Anselin, L., Arribas-Bel, D. (2013) “Spatial fixed effects and spatial dependence in a single cross-section” Papers in Regional Science 92(1): 3-17.

  • Amaral, P. V., Anselin, L., Arribas-Bel, D. (2013) “Testing for spatial error dependence in probit models” Letters in Spatial Resource and Sciences, 6(2): 91-101.

  • Arribas-Bel, D. and Gerritse, M. (2012) “Monocentricity? Commuting flows visually.” Featured Graphic, Environment and Planning A. 44(9): 2041 - 2042

  • Kourtit, K., Nijkamp, P., Arribas-Bel, D. (2012) “Smart Cities Perspective - a Comparative European Study by Means of Self-Organizing Maps” Innovation: The European Journal of Social Science Research, 25(2):229-246.

  • Arribas-Bel, D., Sanz-Gracia, F., Ximenez-de-Embun, D. P. (2012) “Kangaroos, cities and space: a first approach to the Australian urban system” Region et Developpement, 36: 165-187.

  • Kourtit, K., Arribas-Bel, D., Nijkamp, P. (2012) “High Performers in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands” The Annals of Regional Science, 48(2):501-527.

  • Arribas-Bel, D.; Koschinsky, J. and Amaral, P. V. (2012) “Improving the Multi-Dimensional Comparison of Simulation Results: A Spatial Visualization Approach” Letters in Spatial and Resource Sciences, 5(2): 55-63

  • Arribas-Bel, D.; Nijkamp, P. and Schoelten, H. (2011) “Multidimensional urban sprawl in Europe: a self-organizing map approach” Computers, Environment and Urban Systems, 35(4):265 - 275.

  • Rey, S.J.; Anselin, L.; Folch, D.C.; Arribas-Bel, D.; Sastre Gutierrez, M.L. and Interlante, L. “Measuring Spatial Dynamics in Metropolitan Areas”. Economic Development Quarterly, 25(1): 54-64.

Book chapters

  • Arribas-Bel, D., Graser, A. Geographic data science: a manifesto. In A Research Agenda for Spatial Analysis, edited by Levi John Wolf, Richard Harris, and Alison Heppenstall. Edward Elgar Publishing. ISBN: 978 1 80220 322 6.

  • Arribas-Bel, D., Rowe, F., Chen, M., & Comber, S. An image library: The potential of imagery in (quantitative) social sciences. In Handbook of Spatial Analysis in the Social Sciences (pp. 528-543). Edward Elgar Publishing. https://doi.org/10.4337/9781789903942.00042

  • Arribas-Bel, D. Statistics, Modelling, and Data Science. In Digital Geographies (Ash, J., Kitchin, R. and Leszczynski, A., eds.), pp. 129-140. SAGE.

  • de Graaff, T; Arribas-Bel, D.; Ozgen, C. (2018) “Demographic Aging and Employment Dynamics in German Regions: Modeling Regional Heterogeneity”. In Modelling Aging and Migration Effects on Spatial Labor Markets (pp. 211-231). Springer, Cham.

  • Kourtit, K.; Nijkamp, P.; Arribas-Bel, D. (2013) “The Creative Urban Diaspora Economy: A Disparity Analysis among Migrant Entrepreneurs.” In: Handbook of Research Methods and Applications in Urban Economies (Kresl, P., Vaughan, C.P, Sobrino, J., eds.).

Working papers

  • Arribas-Bel, D.; Tranos, E. (2016) “Characterizing the Spatial Structure(s) of Cities “on the fly”: the Space- Time LISA Calendar”. [SSRN]

  • Arribas-Bel, D.; Sanz Gracia, F. (2013) “On the existence of agglomeration shadows at the metropolitan level”.

  • Anselin, L; Amaral, P. V.; Arribas-Bel, D. (2012) “Technical Aspects of Implementing GMM Estimation of the Spatial Error Model in PySAL and GeoDaSpace”. GeoDa Center Technical Report.

Scientific software projects

  • PySAL: Python library of spatial analysis. Core development team.
  • PySAL notebooks: collection of notebooks illustrating PySAL functionality. Contributor.
  • GeoDaSpace. Core development team.