[HTML][HTML] Regional spatial organization of urban functional zones in the Yangtze River economic Belt based on co-location patterns mining

P Zeng, C Zong, H Su - Ecological Indicators, 2024 - Elsevier
As urban areas expand, understanding the spatial organization of urban functional zones
becomes crucial for efficient urban planning and sustainable growth. The Yangtze River …

Spatial and functional organizations of industrial agglomerations in China's Greater Bay Area

Z Yu, J Zu, Y Xu, Y Chen, X Liu - Environment and Planning …, 2022 - journals.sagepub.com
Industrial agglomeration is a concentration phenomenon of economic activities in cities. In
recent years, the geographic and functional structures of industries are constantly changing …

[HTML][HTML] Between collaboration and competition: co‐located clusters of different industries in one region—the context of Tuttlingen's medical engineering and metal …

T König - Regional Science Policy & Practice, 2023 - Elsevier
This study examines the phenomenon of co‐located industrial clusters with different industry
cores in one region. A multi‐method research design, including semi‐structured qualitative …

[HTML][HTML] Differences in Urban Development in China from the Perspective of Point of Interest Spatial Co-Occurrence Patterns

G Dong, R Li, F Li, Z Liu, H Wu, L Xiang, W Yu… - … International Journal of …, 2024 - mdpi.com
An imbalance in urban development in China has become a contradiction. Points of Interest
(POIs) serve as representations of the spatial distribution of urban functions. Analyzing POI …

[HTML][HTML] Mining significant local spatial association rules for multi-category point data

F Cai, J Chen, T Chen, B Zhang, W Fan - Heliyon, 2024 - cell.com
Spatial association rule mining can reveal the inherent laws of spatial object
interdependence and is an important part of spatial data mining. Most of the existing …

[HTML][HTML] Mining co-location patterns of manufacturing firms using Q statistic and additive color mixing

Y Song, G Li, Y Wang, Y Wang, C Ren - Plos one, 2024 - journals.plos.org
The agglomeration effect significantly influences firms' site selection. Manufacturing firms
often exhibit intricate spatial co-location patterns that are indicative of agglomerations due to …

[HTML][HTML] A patent mining approach to accurately identifying Innovative Industrial Clusters based on the multivariate DBSCAN algorithm

S Zeng, T Wang, W Lin, Z Chen, R Xiao - Systems, 2024 - mdpi.com
Innovative Industrial Clusters (IIC), characterized by geographical aggregation and
technological collaboration among technology enterprises and institutions, serve as pivotal …

[HTML][HTML] Industry Linkage and Spatial Co-Evolution Characteristics of Industrial Clusters Based on Natural Semantics—Taking the Electronic Information Industry …

Y Tan, Z Gu, Y Chen, J Li - Sustainability, 2022 - mdpi.com
Identifying industrial clusters and the changes in the spatial representation of these clusters
is a basic but challenging issue for understanding and promoting urban and regional …

The Identification of Industrial Clusters and their Spatial Characteristics Based on Natural Semantics

Y Tan, Z Gu, Y Chen, J Li - Applied Spatial Analysis and Policy, 2024 - Springer
Cluster identification based on input–output tables has long been limited in its effectiveness
due to slow updates and issues of mutual exclusion. This study presents a novel method that …

[HTML][HTML] İşletme Kümelerinin Belirlenmesinde Yararlanılan Yöntemlere İlişkin Bir Literatür İncelemesi

G Önder - Coğrafi Bilimler Dergisi, 2023 - dergipark.org.tr
Business clusters are one of the topics that has attracted considerable attention from the
academic community and public institutions since the 1990s (Cruz and Teixeira, 2010; …