[1] Mennis J, Liu J W. Mining Association Rules in Spatio-Temporal Data:An Analysis of Urban Socioeconomic and Land Cover Change[J]. Transactions in GIS, 2005, 9(1):5-17 doi:  10.1111/tgis.2005.9.issue-1
[2] 沙宗尧, 李晓雷.异质环境下的空间关联规则挖掘[J].武汉大学学报·信息科学版, 2009, 34(12):1480-1484 http://ch.whu.edu.cn/CN/abstract/abstract1471.shtml

Sha Zongyao, Li Xiaolei. Algorithm of Mining Spatial Association Data under Spatially Heterogeneous Environment[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12):1480-1484 http://ch.whu.edu.cn/CN/abstract/abstract1471.shtml
[3] 柴思跃, 苏奋振, 周成虎.基于周期表的时空关联规则挖掘方法与实验[J].地球信息科学学报, 2011, 13(4):455-464 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=24600

Cai Siyue, Sui Fenzhen, Zhou Chenghu. Period Table Based Spatio-Temporal Association Rules Mining[J]. Journal of Geo-Information Science, 2011, 13(4):455-464 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=24600
[4] 陈江平, 黄炳坚.数据空间自相关性对关联规则的挖掘与实验分析[J].地球信息科学学报, 2011, 13(1):109-117 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=23534

Chen Jiangping, Huang Bingjian. Application and Effects of Data Spatial Autocorrelation on Association Rule Mining[J].Journal of Geo-Information Science, 2011, 13(1):109-117 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=23534
[5] Feng L, Dillon T, Liu J. Inter-transactionalAssociation Rules for Multi-Dimensional Contexts for Prediction and Their Application to Studying Meteorological Data[J]. Data and Knowledge Engineering, 2001, 37(1):85-115 doi:  10.1016/S0169-023X(01)00003-9
[6] Agrawal R, Imieliński T, Swami A. Mining Association Rules Between Sets of Items in Large Databases[C]. ACM SIGMOD International Conference on Management of Data, Washington D C, 1993 https://dl.acm.org/citation.cfm?doid=170035.170072
[7] Agrawal R, Srikant R. MiningSequential Patterns[C]. The 6th International Conference on Data Engineering, Taipei, China, 1995 http://dl.acm.org/citation.cfm?id=655281
[8] Srikant R, Agrawal R. MiningSequential Patterns:Generalizations and performance improvements[M]. New York:Springer, 1996
[9] Zaki M J. SPADE:An Efficient Algorithm for Mining Frequent Sequences[J]. Machine Learning, 2001, 42(1/2):31-60 doi:  10.1023/A:1007652502315
[10] Pei J, Han J, Mortazavi-Asl B, et al. Prefixspan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth[C]. The 20th International Council for Open and Distance Education, Dusseldorf, Germany, 2001 https://www.computer.org/csdl/proceedings/icde/2001/1001/00/10010215-abs.html
[11] Mannila H, Toivonen H, Verkamo A I. Discovery ofFrequent Episodes in Event Sequences[J]. Data Mining and Knowledge Discovery, 1997, 1(3):259-289 doi:  10.1023/A:1009748302351
[12] Harms S K, Deogun J, Saquer J, et al. Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints[C]. IEEE International Conference on Data Mining, San Jose, California, USA, 2001 http://dl.acm.org/citation.cfm?id=657879
[13] Harms S K, Deogun J, Tadesse T. Discovering Sequential Association Rules with Constraints and Time Lags in Multiple Sequences[M]. New York:Springer, 2002
[14] Tadesse T, Wilhite D A, Harms S K, et al. DroughtMonitoring Using Data Mining Techniques:A Case Study for Nebraska, USA[J]. Natural Hazards, 2004, 33(1):137-159 doi:  10.1023/B:NHAZ.0000035020.76733.0b
[15] 石岩, 邓敏, 刘启亮, 等.海陆气候事件关联规则挖掘方法[J].地球信息科学学报, 2014, 16(2):182-190 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=24909

Shi Yan, Deng Min, Liu Qiliang, et al. Discovering Sequential Association Rules Between SingleOcean Climate Index and Land Abnormal Climate Events[J]. Journal of Geo-Information Science, 2014, 16(2):182-190 http://www.dqxxkx.cn/CN/article/downloadArticleFile.do?attachType=PDF&id=24909
[16] Zhang X W, Su F Z, Shi Y, et al. Association Rule Mining Based on Spatio-Temporal Processes of Spatial Distribution Patterns[C]. The 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, 2008 http://www.researchgate.net/publication/269318324_Association_rule_mining_based_on_spatio-temporal_processes_of_spatial_distribution_patterns
[17] Yoo J S, Bow M. Mining Spatial Colocation Patterns:A Different Framework[J]. Data Mining and Knowledge Discovery, 2012, 24(1):159-194 doi:  10.1007/s10618-011-0223-0
[18] Qian F, He Q, Chiew K, et al. Spatial Co-location Pattern Discovery Without Thresholds[J]. Knowledge and Information Systems, 2012, 33(2):419-445 doi:  10.1007/s10115-012-0506-9
[19] Whitby K T. ThePhysical Characteristics of Sulfur Aerosols[J]. Atmospheric Environment, 1978, 12(1-3):135-159 doi:  10.1016/0004-6981(78)90196-8
[20] Huang X, He L, Hu M, et al. AnnualVariation of Particulate Organic Compounds in PM2.5 in the Urban Atmosphere of Beijing[J]. Atmospheric Environment, 2006, 40(14):2449-2458 https://www.sciencedirect.com/science/article/pii/S1352231006000033
[21] Song Y, Tang X, Xie S, et al. SourceApportionment of PM2.5 in Beijing in 2004[J]. Journal of Hazardous Materials, 2007, 146(1/2):124-130 http://www.doc88.com/p-581687597795.html