國立高雄大學圖資館 |

Python recipes for earth sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Python recipes for earth sciencesby Martin H. Trauth.
作者:	Trauth, Martin H.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 453 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Python (Computer program language)
電子資源:	https://doi.org/10.1007/978-3-031-07719-7
ISBN:	9783031077197$q(electronic bk.)

Python recipes for earth sciences
Trauth, Martin H.

Python recipes for earth sciences[electronic resource] /by Martin H. Trauth. - Cham :Springer International Publishing :2022. - xii, 453 p. :ill., digital ;24 cm. - Springer textbooks in earth sciences, geography and environment,2510-1315. - Springer textbooks in earth sciences, geography and environment..

Data 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.

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. 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 analysis in the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world.

ISBN: 9783031077197$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07719-7doiSubjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QE48.8

Dewey Class. No.: 550.2855133

Python recipes for earth sciences
LDR:03323nmm a2200325 a 4500 001 629022
003 DE-He213
005 20220928202653.0
007 cr nn 008maaau
008 230224s2022 sz s 0 eng d
020 $a 9783031077197$q(electronic bk.)
020 $a 9783031077180$q(paper)
024 7 $a 10.1007/978-3-031-07719-7 $2 doi
035 $a 978-3-031-07719-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QE48.8
072 7 $a RB $2 bicssc
072 7 $a SCI019000 $2 bisacsh
072 7 $a RB $2 thema
082 0 4 $a 550.2855133 $2 23
090 $a QE48.8 $b .T777 2022
100 1 $a Trauth, Martin H. $3 470425
245 1 0 $a Python recipes for earth sciences $h [electronic resource] / $c by Martin H. Trauth.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xii, 453 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer textbooks in earth sciences, geography and environment, $x 2510-1315
505 0 $a Data 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.
520 $a 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. 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 analysis in the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world.
650 0 $a Python (Computer program language) $3 215247
650 0 $a Earth sciences $x Data processing. $3 339540
650 0 $a Geophysics $x Data processing. $3 281286
650 1 4 $a Earth Sciences. $3 309702
650 2 4 $a Geophysics. $3 197003
650 2 4 $a Geographical Information System. $3 913165
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer textbooks in earth sciences, geography and environment. $3 785297
856 4 0 $u https://doi.org/10.1007/978-3-031-07719-7
950 $a Earth and Environmental Science (SpringerNature-11646)