Machine learning for spatial analyses in urban areas: a scoping review

•Scoping review of 162 papers across all urban fields•Social justice, circular economy, climate and the Global South are understudied•Vast heterogeneity in data sources and machine learning methods used•A lack of reporting parameter selection hinders reproducibility of studies