Variable density grid-based sampling designs for continuous spatial populations
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Stevens, D.L., Jr. (1997)
Environmetrics, 8, 167-95.
Abstract
Many environmental resources, such as mineral resources or vegetation cover, or
environmental attributes, such as chemical concentration in a stream or benthic
community structure, are most appropriately sampled as continuous populations
distributed over space, but most applied sampling theory and methodology is
concerned with finite, discrete populations. This paper reports sampling
methodology that explicitly recognizes the continuous nature of ecological
resources. A family of designs are developed to permit control of the spatial
dispersion of the sample, variable spatial density, and nested subsampling. The
designs have non-zero joint inclusion probability densities, so that rigorous
design-based inference and variance estimation are possible.
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