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Detecting local regions of change in high-dimensional criminal or terrorist point processes

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  • Porter, Michael D.
  • Brown, Donald E.

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  • Porter, Michael D. & Brown, Donald E., 2007. "Detecting local regions of change in high-dimensional criminal or terrorist point processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2753-2768, February.
    • Handle: RePEc:eee:csdana:v:51:y:2007:i:5:p:2753-2768
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    References listed on IDEAS

    as
    1. Liu, Hua & Brown, Donald E., 2003. "Criminal incident prediction using a point-pattern-based density model," International Journal of Forecasting, Elsevier, vol. 19(4), pages 603-622.
    2. A S Fotheringham & M E Charlton & C Brunsdon, 1998. "Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis," Environment and Planning A, , vol. 30(11), pages 1905-1927, November.
    3. Kulldorff, Martin & Tango, Toshiro & Park, Peter J., 2003. "Power comparisons for disease clustering tests," Computational Statistics & Data Analysis, Elsevier, vol. 42(4), pages 665-684, April.
    4. Julian Besag & James Newell, 1991. "The Detection of Clusters in Rare Diseases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(1), pages 143-155, January.
    5. Priebe, Carey E. & Naiman, Daniel Q. & Cope, Leslie M., 2001. "Importance sampling for spatial scan analysis: computing scan statistic p-values for marked point processes," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 475-485, February.
    6. Joseph Glaz & Zhenkui Zhang, 2004. "Multiple Window Discrete Scan Statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(8), pages 967-980.
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    1. Rashidi, Parinaz & Wang, Tiejun & Skidmore, Andrew & Mehdipoor, Hamed & Darvishzadeh, Roshanak & Ngene, Shadrack & Vrieling, Anton & Toxopeus, Albertus G., 2016. "Elephant poaching risk assessed using spatial and non-spatial Bayesian models," Ecological Modelling, Elsevier, vol. 338(C), pages 60-68.

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