Modeling threshold exceedance probabilities of spatially correlated time series
Dana Draghicescu and Rosaria Ignaccolo
Source: Electron. J. Statist. Volume 3 (2009), 149-164.
Abstract
The Commission of the European Union, as well the United States Environmental Protection Agency, have set limit values for some pollutants in the ambient air that have been shown to have adverse effects on human and environmental health. It is therefore important to identify regions where the probability of exceeding those limits is high. We propose a two-step procedure for estimating the probability of exceeding the legal limits that combines smoothing in the time domain with spatial interpolation. For illustration, we show an application to particulate matter with diameter less than 10 microns (PM10) in the North-Italian region Piemonte.
Primary Subjects: 62-09
Secondary Subjects: 62G99
Keywords: threshold exceedance probability; PM_10; smoothing; spatial interpolation; spatial time series; visualization
Full-text: Open access
Links and Identifiers
Permanent link to this document: http://projecteuclid.org/euclid.ejs/1233176793
Digital Object Identifier: doi:10.1214/08-EJS252
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