Measuring Neighborhood Socioeconomic Status from Sky and Street: An Ensemble Learning Framework.
- DOI
- 10.1177/27541231261473758
- Published
- 2026 Sep
- Container
- Transactions in urban data, science, and technology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1177/27541231261473758,
title = {Measuring Neighborhood Socioeconomic Status from Sky and Street: An Ensemble Learning Framework.},
author = {Li Y and Long Y and Suel E and Zhang Y and Robinson BE and Cavanaugh AC and Su N and Ezzati M},
year = {2026},
journal = {Transactions in urban data, science, and technology},
doi = {10.1177/27541231261473758},
url = {https://doi.org/10.1177/27541231261473758}
}RIS
TY - JOUR TI - Measuring Neighborhood Socioeconomic Status from Sky and Street: An Ensemble Learning Framework. AU - Li Y AU - Long Y AU - Suel E AU - Zhang Y AU - Robinson BE AU - Cavanaugh AC AU - Su N AU - Ezzati M PY - 2026 JO - Transactions in urban data, science, and technology DO - 10.1177/27541231261473758 UR - https://doi.org/10.1177/27541231261473758 ER -
APA
Y, L., Y, L., E, S., Y, Z., BE, R., AC, C., N, S., & M, E. (2026). Measuring Neighborhood Socioeconomic Status from Sky and Street: An Ensemble Learning Framework.. Transactions in urban data, science, and technology. https://doi.org/10.1177/27541231261473758
Source records
- pubmed · retrieved 2026-11-10T13:08:32.868Z