Daniel Arribas-Bel
Daniel Arribas-Bel
Department of Geography and Planning
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Smart cities in perspective–a comparative European study by means of self-organizing maps
K Kourtit, P Nijkamp, D Arribas
Innovation: The European journal of social science research 25 (2), 229-246, 2012
Multidimensional urban sprawl in Europe: A self-organizing map approach
D Arribas-Bel, P Nijkamp, H Scholten
Computers, Environment and Urban Systems, 2010
Accidental, open and everywhere: Emerging data sources for the understanding of cities
D Arribas-Bel
Applied Geography 49, 45-53, 2014
Spatial fixed effects and spatial dependence in a single cross‐section
L Anselin, D Arribas-Bel
Papers in Regional Science 92 (1), 3-17, 2013
The validity of the monocentric city model in a polycentric age: US metropolitan areas in 1990, 2000 and 2010
D Arribas-Bel, F Sanz-Gracia
Urban Geography 35 (7), 980-997, 2014
Key questions for modelling COVID-19 exit strategies
RN Thompson, TD Hollingsworth, V Isham, D Arribas-Bel, B Ashby, ...
Proceedings of the Royal Society B 287 (1932), 20201405, 2020
Spatial variation in the quality of American Community Survey estimates
DC Folch, D Arribas-Bel, J Koschinsky, SE Spielman
Demography 53 (5), 1535-1554, 2016
Uncertain Uncertainty: Spatial Variation in the Quality of American Community Survey Estimates
DC Folch, D Arribas-Bel, J Koschinsky, SE Spielman
Geographic data science
A Singleton, D Arribas‐Bel
Geographical Analysis 53 (1), 61-75, 2021
Building (s and) cities: Delineating urban areas with a machine learning algorithm
D Arribas-Bel, MÀ Garcia-López, E Viladecans-Marsal
Journal of Urban Economics 125, 103217, 2021
Cyber Cities: Social Media as a Tool for Understanding Cities
D Arribas-Bel, K Kourtit, P Nijkamp, J Steenbruggen
Applied Spatial Analysis and Policy 8 (3), 231-247, 2015
Benchmarking of world cities through self-organizing maps
D Arribas-Bel, K Kourtit, P Nijkamp
Cities 31, 248-257, 2013
Buy online collect in-store: exploring grocery click&collect using a national case study
A Davies, L Dolega, D Arribas-Bel
International Journal of Retail & Distribution Management 47 (3), 278-291, 2019
A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning
P Stubbings, J Peskett, F Rowe, D Arribas-Bel
Remote Sensing 11 (12), 1395, 2019
Measuring spatial dynamics in metropolitan areas
SJ Rey, L Anselin, DC Folch, D Arribas-Bel, ML Sastré Gutiérrez, ...
Economic Development Quarterly 25 (1), 54-64, 2011
Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning
D Arribas-Bel, JE Patino, JC Duque
PloS one 12 (5), e0176684, 2017
Self-organizing maps and the US urban spatial structure
D Arribas-Bel, CR Schmidt
Environment and Planning B: Planning and Design 40 (2), 362-371, 2013
Open data products-A framework for creating valuable analysis ready data
D Arribas-Bel, M Green, F Rowe, A Singleton
Journal of Geographical Systems 23 (4), 497-514, 2021
Understanding the dynamics of urban areas of interest through volunteered geographic information
M Chen, D Arribas-Bel, A Singleton
Journal of Geographical Systems 21 (1), 89-109, 2019
Machine learning innovations in address matching: A practical comparison of word2vec and CRFs
S Comber, D Arribas‐Bel
Transactions in GIS 23 (2), 334-348, 2019
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