Spatially stratified sampling using auxiliary information for geostatistical mapping

被引:0
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作者
Matthew G. Falk
Robert J. Denham
Kerrie L. Mengersen
机构
[1] Queensland University of Technology,School of Mathematical Sciences
[2] Queensland Department of Environment and Resource Management,undefined
关键词
Regression kriging; Local Moran’s ; Spatial autocorrelation; Spatial sampling; Stratified sampling; Uncertainty;
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摘要
This paper presents a method of spatial sampling based on stratification by Local Moran’s Ii 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.
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页码:93 / 108
页数:15
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