Journal of Geo-information Science, Volume. 22, Issue 5, 997(2020)
Fig. 1. Research frame work for assessment and analysis of the phenomenon of vacancy
Fig. 2. Pre-processed night-time light and coherence of Wuhan city
Fig. 3. Classification process of function of street-block of Wuhan city
Fig. 5. Vacancy index, night-time light, coherence, street view in four areas
Fig. 6. Visualization of influencing factors for the phenomen on of vacancy of Wuhan city
Fig. 7. Relationship between parameters of random forest model and model accuracy
Fig. 8. Refined vacancy index of Wuhan city after random forest fitting
Fig. 9. Analysis of vacancy index of subdistrict office and the importance of influencing factors for the phenomenon of vacancy
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Jiansi YANG, Shuai LIU, Yandong WANG, Mingsheng LIAO.
Received: Oct. 23, 2019
Accepted: --
Published Online: Nov. 12, 2020
The Author Email: WANG Yandong (ydwang@whu.edu.cn)