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Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China
Research article (Computers Environment and Urban Systems, 2020) · cited 64× · AI/ML
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China
Summary
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China is a scholarly article[1].
Key Facts
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-multiscale-visual-appearance-characteristics-of-neighbourhoods-using-geographically-weighted-principal-compone
MLA“Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-multiscale-visual-appearance-characteristics-of-neighbourhoods-using-geographically-weighted-principal-compone.
BibTeX@misc{4ortxyz_assessing-multiscale-visual-appearance-characteristics-of-neighbourhoods-using-geographically-weighted-principal-compone_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-multiscale-visual-appearance-characteristics-of-neighbourhoods-using-geographically-weighted-principal-compone}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China — https://4ort.xyz/entity/assessing-multiscale-visual-appearance-characteristics-of-neighbourhoods-using-geographically-weighted-principal-compone (retrieved 2026-05-24)
