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Collecting Spatial Data: Optimum Design of Experiments for Random Fields, 2nd, Revised Edition

机译:收集空间数据:随机场实验的最佳设计,第二版,修订版

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This is the second edition of "Collecting Spatial Data-Optimum Design of Experiments for Random Fields" which was originally published almost four years ago. Many of the misprints in the first edition have been corrected and exercises have been added at the end of each chapter. Developments in this area that have occurred since the publication of the first edition are included in the list of references and are also discussed in the book where appropriate. The book consists of six chapters. The first chapter gives a very nice summary f the contents of the book. Chapter 2 gives an effective overview of standard geostatistical methods. Universal kriging is discussed as a special form of generalized least squares estimation. This is complemented by a discussion of local regression methodology and its role in spatial data analysis. For ease of discussion, most methods discussed in this chapter, as well as other chapters, are presented using two-dimensional spatial representations, although many of the methods generalize to higher dimensions in obvious ways.
机译:这是《收集空间数据-随机场实验的最佳设计》的第二版,该版本最初出版于四年前。第一版中的许多印刷错误已得到纠正,并且每章末尾都添加了练习。自第一版出版以来在这方面的发展已包括在参考文献清单中,并在适当时在书中进行了讨论。本书共六章。第一章对本书的内容进行了很好的总结。第2章有效概述了标准地统计方法。通用克里金法被讨论为广义最小二乘估计的一种特殊形式。此外,还对局部回归方法及其在空间数据分析中的作用进行了讨论。为了便于讨论,本章及其他各章中讨论的大多数方法都是使用二维空间表示法呈现的,尽管许多方法都以明显的方式推广到了更高的维度。

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