Skip to main content
Log in

Guest Editors’ Introduction to the Special Issue on “Seismomatics: Space–Time Analysis of Natural or Anthropogenic Catastrophes”

  • Published:
Journal of Agricultural, Biological, and Environmental Statistics Aims and scope Submit manuscript

Abstract

Seismomatics is the fusion of mathematics, statistics, physics and data mining at the service of those scientific disciplines interested in the space–time analysis of natural or anthropogenic catastrophes. This special issue on seismomatics has been motivated by a conference of the same name, which took place in Valparaiso (Chile) from 5th to 9th of January 2015. The selection of papers comprises both new methodological proposals and a wide range of applications related to natural or anthropogenic catastrophes. We highlight statistical analysis of marine macroalgae, of annual minimum water levels of the Nile River, of massive data on chlorophyll, of temperature maxima recorded over a complex topography, and of airborne pollutants in relation to the spatial spread of human population across Europe.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Acosta J, Osorio F, Vallejos R (2016) Effective sample size for line transect sampling models with an application to marine macroalgae. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Angulo JM, Madrid AE, Mateu J (2016) Point pattern analysis of spatial deformation and blurring effects on exceedances. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Bevilacqua M, Alegria A, Velandia D, Porcu E (2016) Composite likelihood inference for multivariate Gaussian random fields. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Chilés JP, Delfiner P (1999) Geostatistics: modeling spatial uncertainty, Wiley.

  • Christakos G (1992) Random Fields Models in Earth Sciences, Academic Press.

  • Christakos G, Hristopoulos D (1998) Spatio-temporal environmental health modelling: a tractatus stochasticus, Springer.

  • Cobb L, Watson B (1980) Statistical catastrophe theory: An overview. Mathematical Modeling, 1: 311-317.

    Article  MathSciNet  MATH  Google Scholar 

  • Cressie, N (1993) Statistics for Spatial Data, Wiley.

  • Daley DJ, Vere Jones D (2002) An introduction to the theory of point processes, Springer.

  • Fassò A, Finazzi F, Ndongo F (2016) European population exposure to airborne pollutants based on a multivariate spatio-temporal model. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Geller RJ, Jackson DD, Kagan Y, Mulargia F (1997). Earthquakes cannot be predicted. Science, 275, Issue 5306: 1616.

    Article  Google Scholar 

  • Huser R, Genton M (2016) Non-stationary dependence structures for spatial extremes. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Lee M, Genton M, Jun M (2016) Testing self-similarity through Lamperti transformations. Journal of Agricultural, Biological, and Environmental Statistics. Forthcoming.

  • Møller J, Waagepetersen RP (2005) Statistical inference and simulation for spatial point processes, Chapman & Hall.

  • Woo G (1999) The mathematics of natural catastrophes. Imperial College Press.

Download references

Acknowledgments

J. Mateu has been supported by projects MTM2013-43917-P of the Spanish Ministry of Economy and Competitiveness, and by Grant P1-1B2015-40.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Mateu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mateu, J., Porcu, E. Guest Editors’ Introduction to the Special Issue on “Seismomatics: Space–Time Analysis of Natural or Anthropogenic Catastrophes”. JABES 21, 403–406 (2016). https://doi.org/10.1007/s13253-016-0263-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13253-016-0263-4

Keywords

Navigation