Sampling properties of spatial total estimators under tessellation stratified designs

被引:54
|
作者
Barabesi, L. [1 ]
Franceschi, S. [1 ]
机构
[1] Univ Siena, Dipartimento Metodi Quantitativi, I-53100 Siena, Italy
关键词
design-based inference; continuous population; spatial sampling strategies; VARIANCE-ESTIMATION;
D O I
10.1002/env.1046
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Many environmental variables are continuously scattered over a region and the target parameter turns out to be the spatial total of the variable. In this setting, the design-based approach under the continuous-population paradigm may be conveniently considered. This design is carried out by locating sample sites according to stratified protocols based on a regular tessellation of the region. Such stratified designs are used in the field since they allow for an even sampling coverage of the study area. In this paper we show that the spatial total estimators under tessellation stratified designs are very accurate and normally distributed for large samples. Copyright (C) 2010 John Wiley & Sons, Ltd.
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页码:271 / 278
页数:8
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