Daniel Arribas-Bel

Orcid: 0000-0002-6274-1619

Affiliations:
  • University of Liverpool, UK


According to our database1, Daniel Arribas-Bel authored at least 18 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network.
Comput. Environ. Urban Syst., 2022

2021
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., 2021

A geographic data science framework for the functional and contextual analysis of human dynamics within global cities.
Comput. Environ. Urban Syst., 2021

Modelling and Prediction.
J. Data Intell., 2021

Open data products-A framework for creating valuable analysis ready data.
J. Geogr. Syst., 2021

GIS and Computational Notebooks.
CoRR, 2021

Forecasting the UN Sustainable Development Goals.
Proceedings of the Deep Learning Theory and Applications, 2021

Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

2020
splot - visual analytics for spatial statistics.
J. Open Source Softw., 2020

Quantifying the Characteristics of the Local Urban Environment through Geotagged Flickr Photographs and Image Recognition.
ISPRS Int. J. Geo Inf., 2020

Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019
Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model.
Comput. Environ. Urban Syst., 2019

Machine learning innovations in address matching: A practical comparison of word2vec and CRFs.
Trans. GIS, 2019

A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning.
Remote. Sens., 2019

Understanding the dynamics of urban areas of interest through volunteered geographic information.
J. Geogr. Syst., 2019

A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification.
Geo spatial Inf. Sci., 2019

Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2011
Multidimensional urban sprawl in Europe: A self-organizing map approach.
Comput. Environ. Urban Syst., 2011


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