Jiannan Cai
RGC Postdoctoral Fellow
Institute of Space and Earth Information Science
The Chinese University of Hong Kong
Email: jncai@cuhk.edu.hk
Address: Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Shatin, Hong Kong, China
Selected Publications
You can also find my publications on my Google Scholar and ResearchGate profiles.
Edited Book
2023. Theories and Methods of Geospatial Association Pattern Mining. Min Deng, Jiannan Cai, Zhanjun He, Yuanfang Chen (Eds). Beijing: Science Press.
2023. 地理空间关联模式挖掘的理论与方法. 邓敏, 蔡建南, 何占军, 陈袁芳 著. 北京: 科学出版社.
Journal Articles
(* Corresponding author)
2024
Mengjie Zhou, Mengjie Yang, Tinghua Ai, Jiannan Cai, Zhe Chen. 2024. Rethinking the null hypothesis in significant colocation pattern mining of spatial flows. Journal of Geographical Systems. doi: 10.1007/s10109-024-00439-y. (Link)
2023
Jiannan Cai, Mei-Po Kwan. 2023. Understanding social inequality in individual perceived exposures to air pollution in residential and visited neighborhoods: A study using association rule mining. Annals of the American Association of Geographers, 113(10), 2392-2416. doi: 10.1080/24694452.2023.2236190. (Link)
Jiannan Cai, Mei-Po Kwan, Zihan Kan, Jianwei Huang. 2023. Perceiving noise in daily life: How real-time sound characteristics affect personal momentary noise annoyance in various activity microenvironments and times of day. Health & Place, 83, 103053. doi: 10.1016/j.healthplace.2023.103053. (Link)
Zherong Wu, Xinyang Zhang, Jiannan Cai, Peifeng Ma, Hui Lin, Mei-Po Kwan. 2023. Understanding spatially non-stationary effects of natural and human-induced factors on land subsidence based on InSAR and multi-source geospatial data: A case study in the Guangdong-Hong Kong-Macao Greater Bay Area. International Journal of Digital Earth, 16(2), 4404-4427. (Link)
Zihan Kan, Mei-Po Kwan, Jianwei Huang, Jiannan Cai, Dong Liu. 2023. A spatial network-based assessment of individual exposure to COVID-19. Annals of the American Association of Geographers. doi: 10.1080/24694452.2023.2266021. (Link)
Zihan Kan, Mei-Po Kwan, Jiannan Cai, Yang Liu, Dong Liu. 2023. Nonstationary relationships among individuals' concurrent exposures to noise, air pollution, and green space: A mobility-based study using GPS and mobile sensing data. Health & Place, 83, 103115. doi: 10.1016/j.healthplace.2023.103115. (Link)
Qiaoli Wang, Zijun Li, Jiannan Cai, Mengsheng Zhang, Zida Liu, Yu Xu, Rongrong Li. 2023. Spatially adaptive machine learning models for predicting water quality in Hong Kong. Journal of Hydrology, 622, 129649. doi: 10.1016/j.jhydrol.2023.129649. (Link)
Qiaoli Wang, Jiannan Cai, Feng Gao, Zijun Li, Mengsheng Zhang. 2023. Pollution level, ecological risk assessment and vertical distribution pattern analysis of heavy metals in the tailings dam of an abandon lead–zinc mine. Sustainability, 15(15), 11987. doi: 10.3390/su151511987. (Link)
2022
Jiannan Cai, Mei-Po Kwan. 2022. Detecting spatial flow outliers in the presence of spatial autocorrelation. Computers, Environment and Urban Systems, 96, 101833. doi: 10.1016/j.compenvurbsys.2022.101833. (Link)
Yuanfang Chen, Jiannan Cai*, Min Deng. 2022. Discovering spatio-temporal co-occurrence patterns of crimes with uncertain occurrence time. ISPRS International Journal of Geo-Information, 11(8), 454. (Link)
Wenkai Liu, Qiliang Liu, Min Deng, Jiannan Cai, Jie Yang. 2022. Discovery of statistically significant regional co-location patterns on urban road networks. International Journal of Geographical Information Science, doi: 10.1080/13658816.2021.1981335. (Link)
Jianwei Huang, Mei-Po Kwan, Jiannan Cai, Wanying Song, Changda Yu, Zihan Kan, Steve Hung-Lam Yim. 2022. Field evaluation and calibration of low-cost air pollution sensors for environmental exposure research. Sensors, 22(6), 2381. (Link)
Yiwen Guo, Jiannan Cai*, Yuanfang Chen, Min Deng, Bin Zhao. 2022. Spatial scan statistic method for discovering regional network co-location patterns. Geomatics and Information Science of Wuhan University, 47(9): 1383-1389. (in Chinese) (Link)
2021
Jiannan Cai, Min Deng, Yiwen Guo, Yiqun Xie, Shashi Shekhar. 2021. Discovering regions of anomalous spatial co-locations. International Journal of Geographical Information Science, 35(5), 974-998. (Link) (Codes)
Qiliang Liu, Wenkai Liu, Min Deng, Jiannan Cai, Yaolin Liu. 2021. An adaptive detection of multilevel co-location patterns based on natural neighborhoods. International Journal of Geographical Information Science, 35(3), 556-581. (Link)
2020
Jiannan Cai, Yiqun Xie, Min Deng, Xun Tang, Yan Li, Shashi Shekhar. 2020. Significant spatial co-distribution pattern discovery. Computers, Environment and Urban Systems, 84, 101543. doi: 10.1016/j.compenvurbsys.2020.101543. (Link)
Yiqun Xie, Jiannan Cai, Rahul Bhojwani, Shashi Shekhar, Joseph Knight. 2020. A locally constrained YOLO framework for detecting small and densely distributed building footprints. International Journal of Geographical Information Science, 34(4), 777-801. (Link)
Jamal Golmohammadi, Yiqun Xie, Jayant Gupta, Majid Farhadloo, Yan Li, Jiannan Cai, Samantha Detor, Abigail Roh, Shashi Shekhar. 2020. An Introduction to Spatial Data Mining. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2020 Edition), John P. Wilson (Ed.). doi:10.22224/gistbok/2020.4.5. (Link)
Zhanjun He, Min Deng, Jiannan Cai, Zhong Xie, Qingfeng Guan, Chao Yang. 2020. Mining spatiotemporal association patterns from complex geographic phenomena. International Journal of Geographical Information Science, 34(6), 1162-1187. (Link)
Min Deng, Jiannan Cai*, Wentao Yang, Jianbo Tang, Xuexi Yang, Qiliang Liu, Yan Shi. 2020. Spatio-temporal analysis methods for multi-modal geographic big data. Journal of Geo-information Science, 22(1), 41-56. (in Chinese) (Link)
2019
Jiannan Cai, Min Deng, Qiliang Liu, Yuanfang Chen, Zhanjun He, Jianbo Tang. 2019. A statistical method for detecting spatiotemporal co-occurrence patterns. International Journal of Geographical Information Science, 33(5), 967-990. (Link)
Jiannan Cai, Min Deng, Qiliang Liu, Zhanjun He, Jianbo Tang, Xuexi Yang. 2019. Nonparametric significance test for discovery of network-constrained spatial co-location patterns. Geographical Analysis, 51(1), 3-22. (Link)
Yuanfang Chen, Jiannan Cai*, Qiliang Liu, Min Deng, Xueying Zhang. 2019. A nonparametric test-based approach for mining spatio-temporal co-occurrence patterns of urban crimes. Geomatics and Information Science of Wuhan University, 44(12), 1883-1892. (in Chinese) (Link)
2018
Jiannan Cai, Qiliang Liu, Min Deng, Jianbo Tang, Zhanjun He. 2018. Adaptive detection of statistically significant regional spatial co-location patterns. Computers, Environment and Urban Systems, 68, 53-63. (Link)
Zhanjun He, Min Deng, Jiannan Cai, Qiliang Liu. 2018. A context-based association rules mining method for multiple event sequences. Geomatics and Information Science of Wuhan University, 43(5), 766-772. (in Chinese) (Link)
2017
Min Deng, Jiannan Cai, Qiliang Liu, Zhanjun He, Jianbo Tang. 2017. Multi-level method for discovery of regional co-location patterns. International Journal of Geographical Information Science, 31(9), 1846-1870. (Link)
Min Deng, Zhanjun He, Qiliang Liu, Jiannan Cai, Jianbo Tang. 2017. Multi‐scale approach to mining significant spatial co‐location patterns. Transactions in GIS, 21(5), 1023-1039. (Link)
2016
Jiannan Cai, Qiliang Liu, Feng Xu, Min Deng, Zhanjun He, Jianbo Tang. 2016. An adaptive method for mining hierarchical spatial co-location patterns. Acta Geodaetica et Cartograhica Sinica, 45(4), 475-485. (in Chinese) (Link)
2015
Jiannan Cai, Min Deng, Qiliang Liu, Jianbo Tang, Jincai Huang. 2015. A comparative study of uncertain data clustering algorithms for geoscience applications. Geography and Geo-Information Science, 31(6), 8-14. (in Chinese) (Link)