Home ›
Entities
› academia
› DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China
DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China
Research article (International Journal of Environmental Research and Public Health, 2022) · cited 55× · AI/ML
DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China
Summary
DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China is a scholarly article[1].
Key Facts
DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/dbscan-spatial-clustering-analysis-of-urban-productionlivingecological-space-based-on-poi-data-a-case-study-of-central-u
MLA“DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dbscan-spatial-clustering-analysis-of-urban-productionlivingecological-space-based-on-poi-data-a-case-study-of-central-u.
BibTeX@misc{4ortxyz_dbscan-spatial-clustering-analysis-of-urban-productionlivingecological-space-based-on-poi-data-a-case-study-of-central-u_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China}}, year = {2026}, url = {https://4ort.xyz/entity/dbscan-spatial-clustering-analysis-of-urban-productionlivingecological-space-based-on-poi-data-a-case-study-of-central-u}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China — https://4ort.xyz/entity/dbscan-spatial-clustering-analysis-of-urban-productionlivingecological-space-based-on-poi-data-a-case-study-of-central-u (retrieved 2026-05-24)