Design-based strategies for sampling spatial units from regular grids with applications to forest surveys, land use, and land cover estimation

被引:21
|
作者
Fattorini, Lorenzo [1 ]
Corona, Piermaria [2 ]
Chirici, Gherardo [3 ]
Pagliarella, Maria Chiara [1 ]
机构
[1] Univ Siena, Dept Econ & Stat, I-53100 Siena, Italy
[2] Consiglio Ric Agr & Anal Econ Agr, Forestry Res Ctr, Arezzo, Italy
[3] Univ Florence, Dept Agr Food & Forestry Syst, Florence, Italy
关键词
auxiliary information; difference estimator; generalized regression estimator; Horvitz-Thompson estimator; simulation study; spatially balanced sampling; EXCLUDING CONTIGUOUS UNITS; RESOURCES; INVENTORIES; PERSPECTIVE;
D O I
10.1002/env.2332
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The purpose of this paper is to compare some spatial strategies for sampling polygons onto a grid partitioning a study area. Most of the schemes considered in the paper are aimed at avoiding the selection of neighboring polygons. When one or more auxiliary variables are similar or well correlated with the values of the survey variable, the auxiliary information is adopted at estimation level by means of the difference or the regression estimators, or at design level, using the values of auxiliary variables to determine the inclusion probabilities. Applications to large-scale forest inventories, land use estimation, and forest cover estimation are discussed. A simulation study is performed to compare the adopted strategies in terms of bias (if present), accuracy, and accuracy estimation. The simulation is designed to mimic forest inventories and forest cover estimation, starting from some real situations. An application to plan future surveys for land use estimation in Italy is reported. Copyright (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:216 / 228
页数:13
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