LEADER 04325nam 22006135 450 001 9910616212103321 005 20251202161936.0 010 $a9783031077197$b(electronic bk.) 010 $z9783031077180 024 7 $a10.1007/978-3-031-07719-7 035 $a(MiAaPQ)EBC7101531 035 $a(Au-PeEL)EBL7101531 035 $a(CKB)24949930800041 035 $a(OCoLC)1346362446 035 $a(PPN)264957121 035 $a(DE-He213)978-3-031-07719-7 035 $a(EXLCZ)9924949930800041 100 $a20220928d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPython Recipes for Earth Sciences /$fby Martin H. Trauth 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (463 pages) 225 1 $aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1315 311 08$aPrint version: Trauth, Martin H. Python Recipes for Earth Sciences Cham : Springer International Publishing AG,c2022 9783031077180 320 $aIncludes bibliographical references and index. 327 $aData Analysis in the Earth Sciences -- Introduction to Python -- Univariate Statistics -- Bivariate Statistics -- Time Series Analysis -- Signal Processing -- Spatial Data -- Image Processing -- Multivariate Statistics -- Directional Data. 330 $aPython 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. The Author 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 analysisin the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world. 410 0$aSpringer Textbooks in Earth Sciences, Geography and Environment,$x2510-1315 606 $aEarth sciences 606 $aGeophysics 606 $aGeographic information systems 606 $aEarth Sciences 606 $aGeophysics 606 $aGeographical Information System 615 0$aEarth sciences. 615 0$aGeophysics. 615 0$aGeographic information systems. 615 14$aEarth Sciences. 615 24$aGeophysics. 615 24$aGeographical Information System. 676 $a550.028557 676 $a550.2855133 700 $aTrauth$b Martin H.$0514305 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910616212103321 996 $aPython Recipes for Earth Sciences$92939542 997 $aUNINA