Non-stationary spatial model for the distribution of Xylella fastidiosa in Alicante.

• M. Cendoya ; Ana Hubel ^[1] ; Antonio Vicent Civera ; David Valentín Conesa Guillén
  1. [1] Universitat de València

     Universitat de València

     Valencia, España

     
• Localización: Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain / Itziar Irigoien Garbizu (ed. lit.) , Dae-Jin Lee (ed. lit.) , Joaquín Martínez Minaya (ed. lit.), María Xosé Rodríguez Álvarez (ed. lit.), 2020, ISBN 978-84-1319-267-3, págs. 35-38
• Idioma: inglés
• Enlaces
  • Texto Completo Libro
• Resumen

  • Describing the effect of climatic and spatial factors on the geographic distribution of the plant pathogenic bacterium Xylella fastidiosa has been the main aim since the moment that it was discovered its presence in Alicante (Spain).

    This work started with the analysis of the presence/absence data of the pathogen using Bayesian hierarchical models through the integrated nested Laplace approximation methodology and the stochastic partial differential equation approach.

    Spatial models usually assume stationarity, however, this may be not applicable when physical barriers are present in the study area. Taking into account the irregularities of the terrain and what this may entail in the spread of the disease, higher altitude areas have been considered as possible barriers in the area of interest. The results show that the spatial effect had a strong effect in the model and also that there was no great influence of the barriers due to their reduced extension. Future work will be focused in using these barriers models with theoretical phytosanitary barriers.