MATLAB® Recipes for Earth Sciences
MATLAB® Recipes for Earth Sciences
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MATLAB® 地球科学秘诀
DOI：
10.1007/978-3-662-46244-7
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Martin H. Trauth
中科院分区：
文献类型：
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作者：
Martin H. Trauth
地球科学家进行观察并收集有关地球上运行的自然过程的数据。他们制定并测试作用于特定区域以形成其结构的力量的假设，并对地球未来的变化做出预测。探索地球的所有这些步骤都涉及数值数据的获取和分析。因此，地球科学家需要对统计和数值方法有深入的了解，并具备使用相关计算机软件包的能力，以便能够分析获取的数据。本书介绍了地球科学中使用的一些最重要的数据分析方法，并通过使用 MATLAB® 软件包的示例说明了它们的用法。在学习了合成数据的应用之后，这些示例可以用作读者自己数据分析的秘诀。本章介绍数据采集（第 1.2 节）、各种类型的数据（第 1.3 节）以及分析地球科学数据的适当方法（第 1.4 节）。因此，我们首先探索典型数据集的特征，然后研究使用 MATLAB 分析数据的各种方法。
Earth scientists make observations and gather data about the natural processes that operate on planet Earth. They formulate and test hypotheses on the forces that have acted on a particular region to create its structure and also make predictions about future changes to the planet. All of these steps in exploring the Earth involve the acquisition and analysis of numerical data. An earth scientist therefore needs to have a firm understanding of statistical and numerical methods as well as the ability to utilize relevant computer software packages, in order to be able to analyze the acquired data.This book introduces some of the most important methods of data analysis employed in earth sciences and illustrates their use through examples using the MATLAB® software package. These examples can then be used as recipes for the analysis of the reader’s own data, after having learned their application with synthetic data. This introductory chapter deals with data acquisition (Sect. 1.2), the various types of data (Sect. 1.3) and the appropriate methods for analyzing earth science data (Sect. 1.4). We therefore first explore the characteristics of typical data sets and subsequently investigate the various ways of analyzing data using MATLAB.