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Extremes: Spatial Nonstationary Statistical Modeling

Extremes and Environmental Risk

  1. Liang Peng1,
  2. Zhengjun Zhang2

Published Online: 15 JAN 2013

DOI: 10.1002/9780470057339.vnn016

Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

How to Cite

Peng, L. and Zhang, Z. 2013. Extremes: Spatial Nonstationary Statistical Modeling. Encyclopedia of Environmetrics. 2.

Author Information

  1. 1

    Georgia Institute of Technology, Atlanta, GA, USA

  2. 2

    University of Wisconsin–Madison, Madison, WI, USA

Publication History

  1. Published Online: 15 JAN 2013


Data in environmental studies often appear to be both spatially correlated and nonstationary. Recent extreme events in climate call for more advanced statistical models and inference procedures to deal with spatial extremes. We review some methodologies proposed in the literature and discuss some challenging theoretical and practical questions.


  • hierarchical model;
  • local likelihood model;
  • max-stable process;
  • nonstationary;
  • random fields;
  • spatial extreme