Time Trend Estimation for a Geographic Region
作者： Knut Sølna , Paul Switzer
DOI: 10.1080/01621459.1996.10476927
关键词: Trend estimation 、 Statistical model 、 Change over time 、 Geology 、 Geographic regions 、 Estimation 、 Steppe 、 Field (geography) 、 Geodesy 、 Position (vector) 、 Statistics
摘要: Abstract We discuss a framework for estimation of temporal trend an evolving spatial field. The field is regularly sampled in time at arbitrary monitoring locations whose position may change over time. and the quantification error derives from probabilistic model. illustrate with example involving surface temperature steppe region eastern Europe.
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