Python Recipes for Earth Sciences

Python在各種地球科學應用中被廣泛使用，例如在遙感影像處理、數字高程模型的生成和處理以及時間序列分析中。本書介紹了使用Python進行地球科學數據分析的方法，包括單變量、雙變量和多變量數據集的基本統計、時間序列分析和信號處理；空間和方向數據的分析；以及影像分析。本書中包含了許多示例，演示了如何在地球科學數據集上使用Python。程式碼可在GitHub上線上取得。

Martin H. Trauth studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree from the University of Kiel in 1995 and then became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003 he became a lecturer, and then in 2011 a titular professor at the University of Potsdam. Since 1990 he has worked on various aspects of past changes in the climates of East Africa and South America. His projects have aimed to understand the role of the tropics in terminating ice ages, the relationship between climatic changes and human evolution, and the influence that climate anomalies had on mass movements in the central Andes. Each of these projects has involved the use of MATLAB to apply numerical and statistical methods (such as time-series analysis and signal processing) to paleoclimate time series, lake-balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, or the processing of satellite and microscope images. Martin H. Trauth has been teaching a variety of courses on data analysis in earth sciences with MATLAB for more than 25 years, both at the University of Potsdam and at other universities around the world.

Martin H. Trauth在卡爾斯魯厄大學學習地球物理學和地質學。他於1995年在基爾大學獲得博士學位，然後成為波茨坦大學科學人員的永久成員。在2003年完成博士後研究資格後，他成為講師，並於2011年成為波茨坦大學的名譽教授。自1990年以來，他一直在研究東非和南美洲氣候變化的各個方面。他的項目旨在了解熱帶地區在冰河時期結束中的作用，氣候變化與人類進化之間的關係，以及氣候異常對中安第斯山脈的大規模運動的影響。這些項目中的每一個都涉及使用MATLAB應用數值和統計方法（如時間序列分析和信號處理）於古氣候時間序列、湖泊平衡模型、生物擾動的隨機建模、沉積序列的年齡深度建模或衛星和顯微鏡圖像處理。Martin H. Trauth在地球科學中使用MATLAB進行數據分析的各種課程已經超過25年，不僅在波茨坦大學，還在世界各地的其他大學教授。