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Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips
Research article (Building and Environment, 2020) · cited 87× · AI/ML
Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips
Summary
Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips is a scholarly article[1].
Key Facts
Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-human-perception-of-the-urban-environment-in-a-spatiotemporal-urban-setting-using-locally-acquired-street-vie
MLA“Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-human-perception-of-the-urban-environment-in-a-spatiotemporal-urban-setting-using-locally-acquired-street-vie.
BibTeX@misc{4ortxyz_predicting-human-perception-of-the-urban-environment-in-a-spatiotemporal-urban-setting-using-locally-acquired-street-vie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-human-perception-of-the-urban-environment-in-a-spatiotemporal-urban-setting-using-locally-acquired-street-vie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips — https://4ort.xyz/entity/predicting-human-perception-of-the-urban-environment-in-a-spatiotemporal-urban-setting-using-locally-acquired-street-vie (retrieved 2026-05-24)
