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Abstract:
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Researchers and government officials have long been interested in monitoring the environmental conditions and estimating the temporal changes at the national and regional scale. Spatio-temporal sampling design is an important component of large-scale natural resource monitoring surveys, and a good sampling design can reduce the cost while allowing us to estimate the condition and temporal changes with efficiency and minimum bias. The US National Resources Inventory (NRI) is an annual longitudinal survey of soil, water, and related environmental resources designed to assess conditions and trends on non-federal US lands. In this talk we will present some of our recent research results on balanced spatio-temporal sampling, and discuss how they can helped improve some of our current and future sampling designs for NRI-related surveys.
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