地球信息科学学报 ›› 2018, Vol. 20 ›› Issue (6): 827-836.doi: 10.12082/dqxxkx.2018.180009
• 2017年中国地理信息科学理论与方法学术年会优秀论文专辑 • 上一篇 下一篇
收稿日期:
2017-12-28
修回日期:
2018-02-04
出版日期:
2018-06-20
发布日期:
2018-06-20
作者简介:
作者简介:李 智(1992-),男,硕士生,主要从事时空数据挖掘与应用研究。E-mail:
基金资助:
Received:
2017-12-28
Revised:
2018-02-04
Online:
2018-06-20
Published:
2018-06-20
Supported by:
摘要:
现有时空同现模式挖掘方法因其在空间和时间频繁阈值等参数值的设定上存在困难且缺乏客观依据的问题而难以被应用到犯罪地理研究中。为此,本文通过引入时空状态同现模式和最小时空参与率等概念对现有挖掘方法进行了重新建模,并结合广义Grubbs异常值检验提出了一种点模式分布下的犯罪嫌疑人时空同现模式挖掘框架。基于该框架对中国某省部分犯罪嫌疑人的真实移动轨迹数据的实验分析结果表明,本文所提出的方法能够有效地挖掘出嫌疑人间显著的时空同现模式,且这些模式的时空分布特征不仅与犯罪活动易发生在非农业生产区这一共识基本相符,还与日常活动理论的基本观点相适应。本文拓展了时空同现模式挖掘在犯罪地理研究中的应用,研究成果对公安机关等执法部门在重点监控某些犯罪嫌疑人以及合理分配和部署警力资源方面具有重要意义。
李智, 李卫红. 点模式条件下的犯罪嫌疑人时空同现模式挖掘与分析[J]. 地球信息科学学报, 2018, 20(6): 827-836.DOI:10.12082/dqxxkx.2018.180009
LI Zhi,LI Weihong. Mining and Analyzing Spatiotemporal Co-occurrence Patterns among Criminal Suspects under Point Pattern[J]. Journal of Geo-information Science, 2018, 20(6): 827-836.DOI:10.12082/dqxxkx.2018.180009
[1] | 刘大有,陈慧灵,齐红,等.时空数据挖掘研究进展[J].计算机研究与发展,2013,50(2): 225-239. |
[ Liu D Y, Chen H L, Qi H, et al.Advances in spatiotemporal data mining[J]. Journal of Computer Research and Development, 2013,50(2):225-239. ] | |
[2] |
Celik M, Shekhar S, Rogers J P, et al.Mixed-drove spatiotemporal co-occurrence pattern mining[J]. IEEE Transactions on Knowledge and Data Engineering, 2008,20(10):1322-1335.
doi: 10.1109/TKDE.2008.97 |
[3] | Wang J, Hsu W, Lee M L.A framework for mining topological patterns in spatio-temporal databases[C]//Proceedings of the 14th ACM International Conference on Information and Knowledge Management, Bremen, Germany, October 31-November 5, 2005:429-436. |
[4] | Yoo J S, Shekhar S, Kim S, et al.Discovery of co-evolving spatial event sets[C]//Sixth SIAM International Conference on Data Mining, Bethesda, MD, USA, April 20-22, 2006:306-315. |
[5] |
Celik M.Partial spatio-temporal co-occurrence pattern mining[J]. Knowledge and Information Systems, 2015,44(1):27-49.
doi: 10.1007/s10115-014-0750-2 |
[6] | Qian F, He Q, He J.Mining spread patterns of spatio-temporal co-occurrences over zones[C]//International Conference on Computational Science and Its Applications, ICCSA 2009, Seoul, Republic of Korea, June 29-July 2, 2009:677-692. |
[7] | Zhang Z, Wu W.Composite spatio-temporal co-occurrence pattern mining[C]//3rd International Conference on Wireless Algorithms, Systems, and Applications, WASA 2008, Dallas, TX, USA, October 26-28, 2008:454-465. |
[8] |
Mohan P, Shekhar S, Shine J A, et al.Cascading spatio-temporal pattern discovery[J]. IEEE Transactions on Knowledge and Data Engineering, 2012,24(11):1977-1992.
doi: 10.1109/TKDE.2011.146 |
[9] | Qian F, Yin L, He Q, et al.Mining spatio-temporal co-location patterns with weighted sliding window[C]//2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009, Shanghai, China, November 20-22, 2009:181-185. |
[10] | Huo J, Zhang J, Meng X.On co-occurrence pattern discovery from spatio-temporal event stream[C]//14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, October 13-15, 2013:385-395. |
[11] | Pillai K G, Angryk R A, Banda J M, et al.Spatio-temporal co-occurrence pattern mining in data sets with evolving regions[C]//12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, December 10-10, 2012:805-812. |
[12] |
Akbari M, Samadzadegan F, Weibel R.A generic regional spatio-temporal co-occurrence pattern mining model: a case study for air pollution[J]. Journal of Geographical Systems, 2015,17(3):249-274.
doi: 10.1007/s10109-015-0216-4 |
[13] | Shekhar S, Huang Y.Discovering spatial co-location patterns: a summary of results[C]//7th International Symposium on Spatial and Temporal Databases, SSTD 2001, Redondo Beach, CA, USA, July 12-15, 2001:236-256. |
[14] |
Huang Y, Shekhar S, Xiong H.Discovering colocation patterns from spatial data sets: A general approach[J]. IEEE Transactions on Knowledge & Data Engineering, 2004,16(12):1472-1485.
doi: 10.1109/TKDE.2004.90 |
[15] | Miller D, Schor P, Magnante P, et al.Optics of the normal eye[M]//Yanoff M, Duker J S. Ophthalmology. 3rd ed. St. Louis, MO: Mosby Elsevier, 2008:54. |
[16] |
Bergman R T.Cephalometric soft tissue facial analysis[J]. American Journal of Orthodontics and Dentofacial Orthopedics, 1999,116(4):373-389.
doi: 10.1016/S0889-5406(99)70222-2 |
[17] | 肖惠,滑东红,杨廷欣,等.中国成年人头面部尺寸的研究[J].人类工效学,1998,4(4):25-30. |
[ Xiao H, Hua D H, Yang T X, et al.A research on head face dimensions of Chinese adults[J]. Chinese Ergonomics, 1998,4(4):25-30. ] | |
[18] | Bohannon R W.Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants[J]. Age and ageing, 1997,26(1):15-19. |
[19] | Aggarwal C C.Outlier analysis[M]. New York:Springer, 2013. |
[20] |
Tietjen G L, Moore R H.Some Grubbs-type statistics for the detection of several outliers[J]. Technometrics, 1972,14(3):583-597.
doi: 10.1080/00401706.1972.10488948 |
[21] |
Rosner B.Percentage points for a generalized ESD many-outlier procedure[J]. Technometrics, 1983,25(2):165-172.
doi: 10.1080/00401706.1983.10487848 |
[22] | Eck J, Chainey S, Cameron J, et al.Mapping crime: Understanding hotspots[R]. Washington D C: National Institute of Justice, 2005. |
[23] | Chainey S P.Examining the influence of cell size and bandwidth size on kernel density estimation crime hotspot maps for predicting spatial patterns of crime[J]. Bulletin of the Geographical Society of Liege, 2013,60: 7-19. |
[24] |
Chainey S, Tompson L, Uhlig S.The utility of hotspot mapping for predicting spatial patterns of crime[J]. Security Journal, 2008,21(1):4-28.
doi: 10.1057/palgrave.sj.8350066 |
[25] | Silverman B W.Density estimation for statistics and data analysis[M]. New York: Chapman and Hall, 1986:76. |
[26] | 刘大千,修春亮,于嘉.长春市财产犯罪的空间分析[J].地理科学,2012,32(4):477-484. |
[ Liu D Q, Xiu C L, Yu J.Spatial analysis of property crimes in Changchun[J]. Scientia Geographica Sinica, 2012,32(4):477-484. ] | |
[27] |
冯健,黄琳珊,董颖,等.城市犯罪时空特征与机制——以北京城八区财产类犯罪为例[J].地理学报,2012,67(12):1645-1656.
doi: 10.11821/xb201212006 |
[ Feng J, Huang L S, Dong Y, et al.Research on the spatial-temporal characteristics and mechanism of urban crime: A case study of property crime in Beijing[J]. Acta Geographica Sinica, 2012,67(12):1645-1656. ]
doi: 10.11821/xb201212006 |
|
[28] |
耿莎莎,张旺锋,刘勇,等.基于GIS的城市犯罪行为空间分布特征及预警分析[J].地理科学进展,2011,30(10):1240-1246.
doi: 10.11820/dlkxjz.2011.10.006 |
[ Geng S S, Zhang W F, Liu Y, et al.GIS-based spatial pattern of the crimes in cities and the early warning mechanism[J]. Progress in Geography, 2011,30(10):1240-1246. ]
doi: 10.11820/dlkxjz.2011.10.006 |
|
[29] |
宋广文,肖露子,周素红,等.居民日常活动对扒窃警情时空格局的影响[J].地理学报,2017,72(2):356-367.
doi: 10.11821/dlxb201702014 |
[ Song G W, Xiao L Z, Zhou S H, et al.Impact of residents' routine activities on the spatial-temporal pattern of theft from person[J]. Acta Geographica Sinica, 2017,72(2):356-367. ]
doi: 10.11821/dlxb201702014 |
|
[30] | 柳林,张春霞,冯嘉欣,等.ZG市诈骗犯罪的时空分布与影响因素[J].地理学报,2017,72(2):315-328. |
[ Liu L, Zhang C X, Feng J X, et al.The spatial-temporal distribution and influencing factors of fraud crime in ZG city, China[J]. Acta Geographica Sinica, 2017,72(2):315-328. ] | |
[31] |
Cohen L E, Felson M.Social change and crime rate trends: a routine activity approach[J]. American Sociological Review, 1979,44(4):588-608.
doi: 10.2307/2094589 |
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