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The Detection of Space‐Time Interactions

Author

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  • E. G. Knox

Abstract

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Suggested Citation

  • E. G. Knox, 1964. "The Detection of Space‐Time Interactions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 13(1), pages 25-29, March.
    • Handle: RePEc:bla:jorssc:v:13:y:1964:i:1:p:25-29
    DOI: 10.2307/2985220
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    Citations

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    Cited by:

    1. Li, Junming & Wang, Sixian & Han, Xiulan & Zhang, Gehong & Zhao, Min & Ma, Ling, 2020. "Spatiotemporal trends and influence factors of global diabetes prevalence in recent years," Social Science & Medicine, Elsevier, vol. 256(C).
    2. Nicholas Malizia, 2013. "Inaccuracy, Uncertainty and the Space-Time Permutation Scan Statistic," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-15, February.
    3. Briz-Redón, Álvaro & Iftimi, Adina & Montes, Francisco, 2022. "Accounting for previous events to model and predict traffic accidents at the road segment level: A study in Valencia (Spain)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    4. Martin Kulldorff & Ulf Hjalmars, 1999. "The Knox Method and Other Tests for Space-Time Interaction," Biometrics, The International Biometric Society, vol. 55(2), pages 544-552, June.
    5. Alese Wooditch & David Weisburd, 2016. "Using Space–Time Analysis to Evaluate Criminal Justice Programs: An Application to Stop-Question-Frisk Practices," Journal of Quantitative Criminology, Springer, vol. 32(2), pages 191-213, June.
    6. Mason Youngblood, 2020. "Extremist ideology as a complex contagion: the spread of far-right radicalization in the United States between 2005 and 2017," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    7. Álvaro Briz-Redón & Jorge Mateu, 2026. "A self-exciting spatio-temporal model with a smooth space-time-varying productivity parameter," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 110(1), pages 65-89, March.
    8. Jane Law & Matthew Quick & Ping Chan, 2014. "Bayesian Spatio-Temporal Modeling for Analysing Local Patterns of Crime Over Time at the Small-Area Level," Journal of Quantitative Criminology, Springer, vol. 30(1), pages 57-78, March.
    9. Yukio Sadahiro, 2022. "A method for evaluating the degree of spatial and temporal avoidance in spatial point patterns," Journal of Geographical Systems, Springer, vol. 24(2), pages 241-260, April.
    10. Eric L. Piza & George O. Mohler & Nathan T. Connealy & Rachael Arietti & Jeremy G. Carter, 2025. "Space-Time Association between Gunshot Detection Alerts, Calls for Service, and Police Enforcement in Chicago: Differences Across Citizen Race and Incident Type," Journal of Quantitative Criminology, Springer, vol. 41(1), pages 53-74, March.
    11. Tony H. Grubesic & Elizabeth A. Mack, 2008. "Spatio-Temporal Interaction of Urban Crime," Journal of Quantitative Criminology, Springer, vol. 24(3), pages 285-306, September.
    12. Mohsen Kalantari & Saeed Zanganeh Shahraki & Bamshad Yaghmaei & Somaye Ghezelbash & Gianluca Ladaga & Luca Salvati, 2021. "Unraveling Urban Form and Collision Risk: The Spatial Distribution of Traffic Accidents in Zanjan, Iran," IJERPH, MDPI, vol. 18(9), pages 1-15, April.

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