Spatially stratified sampling using auxiliary information for geostatistical mapping

被引：16
|
作者：
Falk, Matthew G. [1 ]
Denham, Robert J. [2 ]
Mengersen, Kerrie L. [1 ]
机构：
[1] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld 4001, Australia
[2] Queensland Dept Environm & Resource Management, Brisbane, Qld 4001, Australia
来源：
ENVIRONMENTAL AND ECOLOGICAL STATISTICS | 2011年 / 18卷 / 01期
基金：
澳大利亚研究理事会;
关键词：
Regression kriging; Local Moran's I-i; Spatial autocorrelation; Spatial sampling; Stratified sampling; Uncertainty; REGRESSION; STRATEGIES;
D O I：
10.1007/s10651-009-0122-3
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper presents a method of spatial sampling based on stratification by Local Moran's I (i) calculated using auxiliary information. The sampling technique is compared to other design-based approaches including simple random sampling, systematic sampling on a regular grid, conditional Latin Hypercube sampling and stratified sampling based on auxiliary information, and is illustrated using two different spatial data sets. Each of the samples for the two data sets is interpolated using regression kriging to form a geostatistical map for their respective areas. The proposed technique is shown to be competitive in reproducing specific areas of interest with high accuracy.
引用
收藏
页码：93 / 108
页数：16
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