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ORCIDDaniel Arribas-Bel
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- affiliation: University of Liverpool, UK
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Journal Articles
- 2024
[j14]Martin Fleischmann
, Daniel Arribas-Bel:
Decoding (urban) form and function using spatially explicit deep learning. Comput. Environ. Urban Syst. 112: 102147 (2024)- 2022
- [j13]Alex Singleton, Dani Arribas-Bel, John Murray, Martin Fleischmann:
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network. Comput. Environ. Urban Syst. 95: 101802 (2022) - 2021
- [j12]Dani Arribas-Bel, Mark Green, Francisco Rowe, Alex Singleton:
Open data products-A framework for creating valuable analysis ready data. J. Geogr. Syst. 23(4): 497-514 (2021) - [j11]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Modelling and Prediction. J. Data Intell. 2(3): 348-367 (2021) - [j10]Alessia Calafiore, Gregory Palmer, Sam Comber, Daniel Arribas-Bel, Alex Singleton:
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities. Comput. Environ. Urban Syst. 85: 101539 (2021) - [j9]Yunzhe Liu, Alex Singleton, Daniel Arribas-Bel, Meixu Chen:
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City. Comput. Environ. Urban Syst. 86: 101592 (2021) - 2020
- [j8]Meixu Chen, Dani Arribas-Bel, Alex Singleton:
Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition. ISPRS Int. J. Geo Inf. 9(4): 264 (2020) - [j7]Stefanie Lumnitz, Daniel Arribas-Bel, Renan Xavier Cortes, James D. Gaboardi, Verena C. Griess, Wei Kang, Taylor Oshan, Levi John Wolf, Sergio J. Rey:
splot - visual analytics for spatial statistics. J. Open Source Softw. 5(47): 1882 (2020) - 2019
- [j6]Yunzhe Liu, Alex Singleton, Daniel Arribas-Bel:
A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification. Geo spatial Inf. Sci. 22(4): 251-264 (2019) - [j5]Meixu Chen, Dani Arribas-Bel, Alex Singleton:
Understanding the dynamics of urban areas of interest through volunteered geographic information. J. Geogr. Syst. 21(1): 89-109 (2019) - [j4]Philip Stubbings, Joe Peskett, Francisco Rowe, Dani Arribas-Bel:
A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning. Remote. Sens. 11(12): 1395 (2019) - [j3]Sam Comber, Daniel Arribas-Bel:
Machine learning innovations in address matching: A practical comparison of word2vec and CRFs. Trans. GIS 23(2): 334-348 (2019) - [j2]Guanpeng Dong, Levi John Wolf, Alekos Alexiou, Daniel Arribas-Bel:
Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model. Comput. Environ. Urban Syst. 73: 118-125 (2019) - 2011
- [j1]Daniel Arribas-Bel, Peter Nijkamp, Henk J. Scholten:
Multidimensional urban sprawl in Europe: A self-organizing map approach. Comput. Environ. Urban Syst. 35(4): 263-275 (2011)
Conference and Workshop Papers
- 2021
- [c4]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis. DeLTA 2021: 123-131 - [c3]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Forecasting the UN Sustainable Development Goals. DeLTA (Selected Papers) 2021: 88-110 - 2020
- [c2]Yassir Alharbi, Frans Coenen, Daniel Arribas-Bel:
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. DaWaK 2020: 183-196 - 2019
- [c1]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling. KDIR 2019: 297-304
Informal and Other Publications
- 2021
- [i1]Geoff Boeing, Dani Arribas-Bel:
GIS and Computational Notebooks. CoRR abs/2101.00351 (2021)
Coauthor Index
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