Spatial sampling plans to monitor the 3-D spatial distribution of extremes in soil pollution surveys

DOI10.1016/J.CSDA.2007.01.002zbMath1161.62442OpenAlexW1971623307MaRDI QIDQ1020059

Giuseppe Arbia, Carla Simeoni, Giovanni Lafratta

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.01.002

zbMATH Keywords

threshold modelsenvironmental surveyspatial sequential sampling3-D samplingelevation-free MEVindicator Kriging

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Applications of statistics to environmental and related topics (62P12) Statistics of extreme values; tail inference (62G32)

Related Items (2)

Estimating threshold-exceeding probability maps of environmental variables with Markov chain random fields ⋮ A new class of spatial concentration measures

Uses Software

• GSLIB

Cites Work

• Efficiency evaluation of MEV spatial sampling strategies: a scenario analysis
• Extremes and related properties of random sequences and processes
• Families of min-stable multivariate exponential and multivariate extreme value distributions
• Spatial regression models for extremes
• Bayesian Geostatistical Design
• Anisotropic Spatial Sampling Designs for Urban Pollution
• Bivariate extreme value theory: Models and estimation
• Statistical Methods for Multivariate Extremes: An Application to Structural Design
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