相關主題
商品描述
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.
商品描述(中文翻譯)
Python 被廣泛應用於地球科學的各種應用中，例如處理遙感影像、生成和處理數位高程模型，以及分析時間序列。本書介紹了使用 Python 進行地球科學數據分析的方法，包括針對單變量、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。文本中包含了許多示例，展示了如何在地球科學數據集上使用 Python。補充的電子材料（可通過 Springer Link 在線獲取）包含示例數據以及所有書中提到的 Python 命令的配方。
作者簡介
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 subsequently became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003, he became a lecturer, and in 2011, he was granted a titular professorship at the University of Potsdam. Since 1990, Martin H. Trauth has worked on various aspects of past changes in the climates of eastern Africa and South America. His projects have aimed to provide a better understanding of (1) the role that the tropics play in terminating ice ages, (2) the relationship between climatic changes and human evolution, and (3) the influence that climate anomalies have had on mass movements in the central Andes. Each of these projects has involved numerical and statistical methods (e.g., time series analysis and signal processing) with paleoclimate time series, lake balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, or satellite- and microscopic image processing. Martin H. Trauth has taught a variety of courses on data analysis in the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world.
作者簡介(中文翻譯)
馬丁·H·特勞斯（Martin H. Trauth）在卡爾斯魯厄大學（University of Karlsruhe）學習地球物理學和地質學。他於1995年在基爾大學（University of Kiel）獲得博士學位，隨後成為波茨坦大學（University of Potsdam）科學工作人員的永久成員。2003年，他完成了資格論文後成為講師，並於2011年獲得波茨坦大學的名譽教授職稱。自1990年以來，馬丁·H·特勞斯一直在研究東非和南美洲過去氣候變化的各個方面。他的項目旨在更好地理解（1）熱帶地區在結束冰河時期中的角色，（2）氣候變化與人類演化之間的關係，以及（3）氣候異常對中央安第斯山脈大規模運動的影響。這些項目均涉及數值和統計方法（例如，時間序列分析和信號處理），包括古氣候時間序列、湖泊平衡建模、生物擾動的隨機建模、沉積序列的年齡-深度建模，或衛星和顯微圖像處理。馬丁·H·特勞斯在波茨坦大學及世界各地的其他大學教授地球科學數據分析課程已超過25年。
