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

机译:基于设计的策略,可从常规网格中采样空间单位,并将其应用于森林调查,土地利用和土地覆盖估算

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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.
机译:本文的目的是比较一些将多边形采样到划分研究区域的网格上的空间策略。本文考虑的大多数方案都旨在避免选择相邻的多边形。当一个或多个辅助变量与调查变量的值相似或很好地相关时,可通过差值或回归估计量在估计级别采用辅助信息,或在设计级别使用辅助变量的值来确定辅助信息。包含概率。讨论了在大规模森林清单,土地利用估算和森林覆盖率估算中的应用。进行了仿真研究,以比较偏差(如果存在),准确性和准确性估计方面采用的策略。从某些实际情况开始,该模拟旨在模拟森林清单和森林覆盖率估算。据报道,有一项计划在意大利规划未来调查以评估土地利用的申请。版权所有(c)2015 John Wiley&Sons,Ltd.

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