使用适应性抽样设计绘图

IF 2.1 2区 数学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Spatial Statistics Pub Date : 2024-03-01 DOI:10.1016/j.spasta.2024.100820
Mohammad Moradi , Jennifer Brown
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引用次数: 0

摘要

当某些地点的信息有限时,内插法通常用于绘制地图和图像。内插法的准确性部分取决于已收集到较完整信息的样本点的位置。在最初的勘测设计中,最好将样本点间隔开来,以实现大范围覆盖。然而,当所关注的变量存在相当大的差异时,其他设计特征可能会更可取。在此,我们介绍一种适应性设计,即在第一阶段的选点中提供大范围的覆盖范围,并在随后的阶段在变异较大的区域附近选择更多的选点。
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Mapping using an adaptive sampling design

Interpolation is commonly used in the construction of maps and images when there is limited information for some of the sites. The accuracy of interpolation methods depends, in part, on the location of the sample sites where more complete information has been gathered. An initial survey design where the sample sites are spaced so there is wide-spread coverage is desirable. However, when there is considerable variation in the variable of interest, other design features may be preferable. Here we introduce an adaptive design where in the first stage of site selection gives wide-spread coverage, and in subsequent stages additional sites are selected adjacent to areas of high variability.

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来源期刊
Spatial Statistics
Spatial Statistics GEOSCIENCES, MULTIDISCIPLINARY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.00
自引率
21.70%
发文量
89
审稿时长
55 days
期刊介绍: Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication. Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data.
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