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Research article

First published 2019-9

Spatial extreme learning machines: An application on prediction of disease counts

Marcos O Prates

Statistical Methods in Medical Research

Free access

Research article

First published 2022-3

Evaluating spatial statistical and machine learning models in urban dynamic population mapping

Zhifeng Cheng, Jianghao Wang, Kaixin Zhu [...]

Transactions in Urban Data,Science,and Technology

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Review article

First published 2024-06

Practical Considerations for Machine Learning-Enabled Discoveries in Spatial Transcriptomics

Alex J. Lee, Robert Cahill, Reza Abbasi-Asl

GEN Biotechnology

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Research article

First published 2021-3

A machine learning approach to modelling the spatial variations in the daily fine particulate matter (PM 2.5 ) and nitrogen dioxide (NO 2 ) of Shanghai,China

Xin-Yi Song, Ya Gao, Yubo Peng [...]

Environment and Planning B: Urban Analytics and City Science

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Research article

First published 2021-9

Spatial Roadway Condition-Assessment Mapping Utilizing Smartphones and Machine Learning Algorithms

Charalambos Kyriakou, Symeon E. Christodoulou, Loukas Dimitriou

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2025-12

Quantity or Spatial Coverage? Using Interpretable Machine Learning to Evaluate the Relationship Between Spatial Strategy of Police Stops and Crime in Crime Hotspots and Non-Hotspots

Guangwen Song, Zhuoying Fan, Liang Cai [...]

Police Quarterly

Open access

Research article

First published 2025-04

Alzheimer’s Disease Dementia Prevalence in the United States: A County-Level Spatial Machine Learning Analysis

Abolfazl Mollalo, George Grekousis, Hermes Florez [...]

American Journal of Alzheimer's Disease & Other Dementias®

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Research article

First published 2024-1

Using machine learning to identify spatial market segments. A reproducible study of major Spanish markets

David Rey-Blanco, Pelayo Arbués, Fernando A. López [...]

Environment and Planning B: Urban Analytics and City Science

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Research article

First published 2022-6

Machine learning and complex compositional principles in architecture: Application of convolutional neural networks for generation of context-dependent spatial compositions

Tomasz Dzieduszyński

International Journal of Architectural Computing

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Research article

First published 2022

Insights from Big Spatial Data through Machine Learning Techniques for Prudent Management of Natural Resources

T V Ramachandra, Paras Negi, Bharath Setturu

Journal of Resources,Energy and Development

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