03368nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001400153072001700167072002300184072001600207100007900223245008500302250001800387264006900405300006600474336002600540337002600566338003600592347002400628490008000652505024400732520145800976650001602434650003602450650002602486650001602512650003702528650005102565710003402616773002602650776003602676776003602712776003602748830008002784856004602864978-3-031-56906-7DE-He21320251030113131.0cr nn 008mamaa241007s2024    sz |    s    |||| 0|eng d  a97830315690677 a10.1007/978-3-031-56906-72doi 4aQC801-809 7aPHVG2bicssc 7aSCI0320002bisacsh 7aPHVG2thema1 aTrauth, Martin H.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aPython Recipes for Earth Sciencesh[electronic resource] /cby Martin H. Trauth.  a2nd ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXI, 491 p. 148 illus., 127 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSpringer Textbooks in Earth Sciences, Geography and Environment,x2510-13150 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.  aPython is used in a wide range of geoscientific applications, such as for image processing in remote sensing, for generating and processing digital elevation models, and for analyzing time series. This book introduces methods of data analysis in the earth sciences using Python, such as basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, signal processing, spatial and directional data analysis, and image analysis. The text includes numerous examples demonstrating how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains recipes that include all the Python commands featured in the book and example data. 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 was subsequently appointed a permanent memberof the scientific staff at the University of Potsdam. He became a lecturer following his habilitation in 2003 and was granted a titular professorship at the University of Potsdam in 2011. Since 1990, he has worked on various aspects of past changes in the climates of eastern Africa and South America. Martin H. Trauth has taught a variety of courses on data analysis in the earth sciences with MATLAB for more than 30 years both at the University of Potsdam and at other universities around the world. . 0aGeophysics. 0aGeographic information systems. 0aApplication software.14aGeophysics.24aGeographical Information System.24aComputer and Information Systems Applications.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303156905008iPrinted edition:z978303156907408iPrinted edition:z9783031569081 0aSpringer Textbooks in Earth Sciences, Geography and Environment,x2510-131540uhttps://doi.org/10.1007/978-3-031-56906-7