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• W3004658887 endingPage "100420" @default.
• W3004658887 startingPage "100420" @default.
• W3004658887 abstract "We clear land for agricultural purposes, we draw water from streams and aquifers, and we build houses in coastal regions for their ready access to the sea. Our need for food, water, and shelter is basic, but so is variability in our natural environment. Understanding this is key to the long-term sustainability of the anthropocene. At any location in the environment, long-term temporal averages may indicate regions that exceed sustainability thresholds. For example, environmental thresholds might be used by insurance companies to set the prices of insurance premiums. In this article, we present the problem of spatial-statistical inference on exceedance regions, defined as a set of locations whose long-term environmental condition is above a given threshold. An example is given of rainfall in Paraná, Brazil, averaged over a period of three decades." @default.
• W3004658887 created "2020-02-14" @default.
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• W3004658887 date "2020-06-01" @default.
• W3004658887 modified "2023-10-18" @default.
• W3004658887 title "Great expectations and even greater exceedances from spatially referenced data" @default.
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• W3004658887 doi "https://doi.org/10.1016/j.spasta.2020.100420" @default.
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