Properties of design-based estimation under stratified spatial sampling with application to canopy coverage estimation

Details Properties of design-based estimation under stratified spatial sampling with application to canopy coverage estimation Properties of design-based estimation under stratified spatial sampling with application to canopy coverage estimation

2012-03-19

arxiv.org/abs/1203.4065v1

Annals of Applied Statistics 2012, Vol. 6, No. 1, 210-228

Statistics

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Published in at http://dx.doi.org/10.1214/11-AOAS509 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Ins

Scientific paper

10.1214/11-AOAS509

The estimation of the total of an attribute defined over a continuous planar domain is required in many applied settings, such as the estimation of canopy coverage in the Monterano Nature Reserve in Italy. If the design-based approach is considered, the scheme for the placement of the sample sites over the domain is fundamental in order to implement the survey. In real situations, a commonly adopted scheme is based on partitioning the domain into suitable strata, in such a way that a single sample site is uniformly placed (i.e., selected with uniform probability density) in each stratum and sample sites are independently located. Under mild conditions on the function representing the target attribute, it is shown that this scheme gives rise to an unbiased spatial total estimator which is "superefficient" with respect to the estimator based on the uniform placement of independent sample sites over the domain. In addition, the large-sample normality of the estimator is proven and variance estimation issues are discussed.

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