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Modeling Spatiotemporal Forest Health Monitoring Data

Author

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  • Augustin, Nicole H.
  • Musio, Monica
  • von Wilpert, Klaus
  • Kublin, Edgar
  • Wood, Simon N.
  • Schumacher, Martin

Abstract

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Suggested Citation

  • Augustin, Nicole H. & Musio, Monica & von Wilpert, Klaus & Kublin, Edgar & Wood, Simon N. & Schumacher, Martin, 2009. "Modeling Spatiotemporal Forest Health Monitoring Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 899-911.
    • Handle: RePEc:bes:jnlasa:v:104:i:487:y:2009:p:899-911
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    Citations

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    Cited by:

    1. Massimiliano Mazzanti & Antonio Musolesi, 2013. "A Nonlinear Analysis of CO2-Income Relation for Advanced Countries," Working Papers 2013072, University of Ferrara, Department of Economics.
    2. Simon N. Wood & Zheyuan Li & Gavin Shaddick & Nicole H. Augustin, 2017. "Generalized Additive Models for Gigadata: Modeling the U.K. Black Smoke Network Daily Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1199-1210, July.
    3. Roberto Basile & Alessandro Girardi & Marianna Mantuano & Francesco Pastore, 2012. "Sectoral shifts, diversification and regional unemployment: evidence from local labour systems in Italy," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(4), pages 525-544, November.
    4. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2015. "Econometric modelling of the regional knowledge production function in Europe," Journal of Economic Geography, Oxford University Press, vol. 15(6), pages 1227-1259.
    5. Musolesi Antonio & Mazzanti Massimiliano, 2014. "Nonlinearity, heterogeneity and unobserved effects in the carbon dioxide emissions-economic development relation for advanced countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(5), pages 1-21, December.
    6. Ali M. Mosammam & Jorge Mateu, 2018. "A penalized likelihood method for nonseparable space–time generalized additive models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(3), pages 333-357, July.
    7. Basile, Roberto & Durbán, María & Mínguez, Román & María Montero, Jose & Mur, Jesús, 2014. "Modeling regional economic dynamics: Spatial dependence, spatial heterogeneity and nonlinearities," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 229-245.
    8. Yuheng Ling, 2020. "Time, space and hedonic prediction accuracy: evidence from Corsican apartment markets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 367-388, April.
    9. Roberto BASILE & Cristiana DONATI & Rosanna PITTIGLIO, 2013. "Industry Structure And Employment Growth: Evidence From Semiparametric Geoadditive Models," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 121-160.
    10. Roberto Basile & Jaewon Lim, 2017. "Nonlinearities in Interregional Migration Behavior," International Regional Science Review, , vol. 40(6), pages 563-589, November.
    11. Luca Zanin & Raffaella Calabrese, 2017. "Interaction effects of region-level GDP per capita and age on labour market transition rates in Italy," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-29, December.
    12. Longhi, Christian & Musolesi, Antonio & Baumont, Catherine, 2014. "Modeling structural change in the European metropolitan areas during the process of economic integration," Economic Modelling, Elsevier, vol. 37(C), pages 395-407.
    13. Massimiliano Mazzanti & Antonio Musolesi, 2013. "Nonlinearity, Heterogeneity and Unobserved Effects in the CO2-income Relation for Advanced Countries," Working Papers 2013.91, Fondazione Eni Enrico Mattei.
    14. Roberto Basile & Luigi Benfratello & Davide Castellani, 2012. "Geoadditive models for regional count data: an application to industrial location," ERSA conference papers ersa12p83, European Regional Science Association.
    15. Emiko Dupont & Simon N. Wood & Nicole H. Augustin, 2022. "Spatial+: A novel approach to spatial confounding," Biometrics, The International Biometric Society, vol. 78(4), pages 1279-1290, December.
    16. Sylvie Charlot & Riccardo Crescenzi & Antonio Musolesi, 2014. "Augmented and Unconstrained: revisiting the Regional Knowledge Production Function," SEEDS Working Papers 2414, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Aug 2014.
    17. Longhi, C. & Musolesi, A. & Baumont, C., 2013. "Modeling the industrial dynamics of the European metropolitan areas during the process of economic integration: a semiparametric approach," Working Papers 2013-10, Grenoble Applied Economics Laboratory (GAEL).

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