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Spatial Sampling for Non-compact Patterns
International Statistical Review ( IF 2 ) Pub Date : 2021-03-26 , DOI: 10.1111/insr.12445
Linda Altieri 1 , Daniela Cocchi 1
Affiliation  

The objective of spatial sampling is to collect subsets of individuals from a population in the two-dimensional space, in order to estimate some population characteristics. Traditional sampling techniques are accordingly enriched to keep space into account. We consider sequential techniques that use weights for introducing space in the update of population units' inclusion probabilities and propose a new weighting system that includes the spatial entropy of the study variable. Techniques only based on distances between locations perform well in the case of a compact structure. Any non-compact spatial scheme takes advantage of the involvement of spatial entropy in the sequential modification of first-order inclusion probabilities.

中文翻译:

非紧凑模式的空间采样

空间抽样的目的是在二维空间中从人口中收集个体的子集,以估计一些人口特征。传统的采样技术因此得到了丰富,以保持空间的考虑。我们考虑了在更新人口单位的包含概率时使用权重引入空间的顺序技术,并提出了一种新的加权系统,其中包括研究变量的空间熵。仅基于位置之间距离的技术在紧凑结构的情况下表现良好。任何非紧凑空间方案都利用空间熵参与一阶包含概率的顺序修改。
更新日期:2021-03-26
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