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Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City
Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City
Summary
Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City is a scholarly article[1].
Key Facts
Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City'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). Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-and-spatiotemporal-evolution-analysis-of-the-urbanrural-fringe-in-polycentric-cities-based-on-k-means-clu
MLA“Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-and-spatiotemporal-evolution-analysis-of-the-urbanrural-fringe-in-polycentric-cities-based-on-k-means-clu.
BibTeX@misc{4ortxyz_identification-and-spatiotemporal-evolution-analysis-of-the-urbanrural-fringe-in-polycentric-cities-based-on-k-means-clu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City}}, year = {2026}, url = {https://4ort.xyz/entity/identification-and-spatiotemporal-evolution-analysis-of-the-urbanrural-fringe-in-polycentric-cities-based-on-k-means-clu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City — https://4ort.xyz/entity/identification-and-spatiotemporal-evolution-analysis-of-the-urbanrural-fringe-in-polycentric-cities-based-on-k-means-clu (retrieved 2026-05-24)
