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Volumn , Issue , 2011, Pages 42-47

The spatio-temporal generalized additive model for criminal incidents

Author keywords

[No Author keywords available]

Indexed keywords

DEMOGRAPHIC DATA; DEVELOPED MODEL; EVALUATION RESULTS; GENERALIZED ADDITIVE MODEL; INCIDENT DATA; INTERPRETABILITY; LAW-ENFORCEMENT AGENCIES; RE-WEIGHTED LEAST SQUARES; SPATIAL PREDICTION; SPATIO-TEMPORAL; SPATIOTEMPORAL PATTERNS; UNDERLYING FACTORS; VIRGINIA;

EID: 80052875331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2011.5984048     Document Type: Conference Paper
Times cited : (23)

References (12)
  • 1
    • 0001831862 scopus 로고
    • STAC hot-spot areas: A statistical tool for law enforcement decisions
    • Washington, DC: Police Executive Research Forum. Citeseer
    • C. Block, "STAC hot-spot areas: A statistical tool for law enforcement decisions," in Crime analysis through computer mapping. Washington, DC: Police Executive Research Forum. Citeseer, 1995, pp. 15-32.
    • (1995) Crime Analysis Through Computer Mapping , pp. 15-32
    • Block, C.1
  • 2
    • 0142087671 scopus 로고    scopus 로고
    • Criminal incident prediction using a point-pattern-based density model
    • DOI 10.1016/S0169-2070(03)00094-3, PII S0169207003000943
    • H. Liu and D. Brown, "Criminal incident prediction using a pointpattern-based density model," International journal of forecasting, vol. 19, no. 4, pp. 603-622, 2003. (Pubitemid 37282307)
    • (2003) International Journal of Forecasting , vol.19 , Issue.4 , pp. 603-622
    • Liu, H.1    Brown, D.E.2
  • 3
    • 32544439402 scopus 로고    scopus 로고
    • Spatial analysis with preference specification of latent decision makers for criminal event prediction
    • DOI 10.1016/j.dss.2004.06.007, PII S0167923604001319
    • Y. Xue and D. Brown, "Spatial analysis with preference specification of latent decision makers for criminal event prediction," Decision support systems, vol. 41, no. 3, pp. 560-573, 2006. (Pubitemid 43233887)
    • (2006) Decision Support Systems , vol.41 , Issue.3 , pp. 560-573
    • Xue, Y.1    Brown, D.E.2
  • 4
    • 35048816600 scopus 로고    scopus 로고
    • Spatial forecast methods for terrorist events in urban environments
    • D. Brown, J. Dalton, and H. Hoyle, "Spatial forecast methods for terrorist events in urban environments," Intelligence and Security Informatics, pp. 426-435, 2004.
    • (2004) Intelligence and Security Informatics , pp. 426-435
    • Brown, D.1    Dalton, J.2    Hoyle, H.3
  • 7
    • 67449125538 scopus 로고    scopus 로고
    • Practical large-scale spatio-temporal modeling of particulate matter concentrations
    • c. Paciorek, J. Yanosky, R. Puett, F. Laden, and H. Suh, "Practical large-scale spatio-temporal modeling of particulate matter concentrations," Ann Appl Stat, vol. 3, pp. 369-396, 2009.
    • (2009) Ann Appl Stat , vol.3 , pp. 369-396
    • Paciorek, C.1    Yanosky, J.2    Puett, R.3    Laden, F.4    Suh, H.5
  • 9
    • 0032220433 scopus 로고    scopus 로고
    • Taking time seriously: Time-series-cross-section analysis with a binary dependent variable
    • N. Beck, J. Katz, and R. Tucker, "Taking time seriously: Time-series-cross-section analysis with a binary dependent variable," American Journal of Political Science, vol. 42, no. 4, pp. 1260-1288, 1998.
    • (1998) American Journal of Political Science , vol.42 , Issue.4 , pp. 1260-1288
    • Beck, N.1    Katz, J.2    Tucker, R.3
  • 10
    • 4544259831 scopus 로고    scopus 로고
    • Logistic regression in rare events data
    • G. King and L. Zeng, "Logistic regression in rare events data," Political analysis, vol. 9, no. 2, p. 137, 2001.
    • (2001) Political Analysis , vol.9 , Issue.2 , pp. 137
    • King, G.1    Zeng, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.