Journal of Geo-information Science, Volume. 22, Issue 5, 1033(2020)
Fig. 1. Visual flow chart of dynamic clustering DBICP image in urban creative industry zone
Fig. 2. Visual flow chart of dynamic clustering DBICP image in urban creative industry zone
Fig. 4. Spatial Clustering and Merging Strategy of DBICP Algorithms
Fig. 5. Comparison of clustering 1effect before and after improvement of DBICP algorithm(Putuo District, Shanghai)
Fig. 7. DBICP algorithm Threshold color value planning optimization
Fig. 11. A preliminary linear trajectory of creative industry spatial agglomeration based on DBICP algorithm
Fig. 13. E-charts spatial aggregation dynamic interface search results in Putuo District, Shanghai
Fig. 14. E-charts spatial agglomeration dynamic global interface search results in Pudong District, Shanghai
Fig. 15. E-charts spatial aggregation dynamic global interface search results in Xujiahui District, Shanghai
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Qi ZHOU, Changchun GAO.
Received: Nov. 5, 2019
Accepted: --
Published Online: Nov. 12, 2020
The Author Email: GAO Changchun (qiweekend@163.com)