Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Spatial machine learning: new opportunities for regional science

10 references·5 citing·51 second hop

FromToDepth

this work references cited by second hop

References

2015Geographical and Temporal Weighted Regression (GTWR)621 cited
2019Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data619 cited
1987A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets508 cited
2019Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction505 cited
2006Efficient regionalization techniques for socio‐economic geographical units using minimum spanning trees437 cited
2014Using machine learning algorithms for housing price prediction: The case of Fairfax County, Virginia housing data400 cited
2021DOME: recommendations for supervised machine learning validation in biology265 cited
2021Reproducibility standards for machine learning in the life sciences259 cited
2021Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers228 cited
2018Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain113 cited

Cited by

2023Clustering networked funded European research activities through rank-size laws14 cited
2023The spatiotemporal socio-demography of the Tokyo capital region: a data-driven explorative approach8 cited
2024To what extent walking and biking are substitutes or complements to public transport? Interpretable machine learning findings from the University of Lyon, France

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

7 cited

2025Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing6 cited

2025Hansen’s Accessibility Theory and Machine Learning: a Potential Merger5 cited