Spatial Interpolation Errors for Monitoring Data
作者:
Gudmund Høst,
Henning Omre,
Paul Switzer,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1995)
卷期:
Volume 90,
issue 431
页码: 853-861
ISSN:0162-1459
年代: 1995
DOI:10.1080/01621459.1995.10476584
出版商: Taylor & Francis Group
关键词: Air pollution;Cross-validation;Kriging;Spatial/temporal modeling
数据来源: Taylor
摘要:
Separate modeling of the spatial mean field, the spatial variance field, and the space-time residual fields can give a more detailed and possibly more accurate representation of spatial interpolation errors when we have repeated observations on a fixed monitoring network. This article gives expressions for the spatial interpolation errors in terms of the statistics of the component fields, which enable us to assess the relative importance of different kinds of uncertainty. This modeling approach is applied to data of sulfur dioxide concentrations in Europe, and a comparison with neighborhood kriging is done by means of cross-validation.
点击下载:
PDF (803KB)
返 回