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Functional analysis of spatial aggregation regions of Jeffrey pine beetle-attack within the Lake Tahoe Basin

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  • Smirnova, Ekaterina
  • Khormali, Omid
  • Egan, Joel M.

Abstract

We introduce modeling approaches for quantifying the spatiotemporal location and characteristics of clusters with application to the 1993 Jeffrey pine beetle (JPB) forest epidemic attack.

Suggested Citation

  • Smirnova, Ekaterina & Khormali, Omid & Egan, Joel M., 2019. "Functional analysis of spatial aggregation regions of Jeffrey pine beetle-attack within the Lake Tahoe Basin," Statistics & Probability Letters, Elsevier, vol. 144(C), pages 57-62.
    • Handle: RePEc:eee:stapro:v:144:y:2019:i:c:p:57-62
    DOI: 10.1016/j.spl.2018.07.001
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    References listed on IDEAS

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    1. William R. Kerr & Scott Duke Kominers, 2015. "Agglomerative Forces and Cluster Shapes," The Review of Economics and Statistics, MIT Press, vol. 97(4), pages 877-899, October.
    2. Marcon, Eric & Puech, Florence, 2017. "A typology of distance-based measures of spatial concentration," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 56-67.
    3. Tomoya Mori & Tony E. Smith, 2014. "A probabilistic modeling approach to the detection of industrial agglomerations," Journal of Economic Geography, Oxford University Press, vol. 14(3), pages 547-588.
    4. Arnab Bhattacharjee & Liqian Cai & Taps Maiti, 2017. "Functional regression over irregular domains: variation in the shadow price of living space," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(2-3), pages 182-201, July.
    5. Laura M. Sangalli & James O. Ramsay & Timothy O. Ramsay, 2013. "Spatial spline regression models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 681-703, September.
    6. Tim Ramsay, 2002. "Spline smoothing over difficult regions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(2), pages 307-319, May.
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