語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Python recipes for Earth sciences
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Python recipes for Earth sciences/ by Martin H. Trauth.
作者:
Trauth, Martin H.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xi, 491 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computer and Information Systems Applications. -
電子資源:
https://doi.org/10.1007/978-3-031-56906-7
ISBN:
9783031569067
Python recipes for Earth sciences
Trauth, Martin H.
Python recipes for Earth sciences
[electronic resource] /by Martin H. Trauth. - Second edition. - Cham :Springer Nature Switzerland :2024. - xi, 491 p. :ill. (some col.), 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 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.
ISBN: 9783031569067
Standard No.: 10.1007/978-3-031-56906-7doiSubjects--Topical Terms:
1365732
Computer and Information Systems Applications.
LC Class. No.: QE48.8 / .T72 2024
Dewey Class. No.: 550.2855133
Python recipes for Earth sciences
LDR
:02799nam a2200349 a 4500
001
1154631
003
DE-He213
005
20241007130228.0
006
m d
007
cr nn 008maaau
008
250619s2024 sz s 0 eng d
020
$a
9783031569067
$q
(electronic bk.)
020
$a
9783031569050
$q
(paper)
024
7
$a
10.1007/978-3-031-56906-7
$2
doi
035
$a
978-3-031-56906-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QE48.8
$b
.T72 2024
072
7
$a
PHVG
$2
bicssc
072
7
$a
SCI032000
$2
bisacsh
072
7
$a
PHVG
$2
thema
082
0 4
$a
550.2855133
$2
23
090
$a
QE48.8
$b
.T777 2024
100
1
$a
Trauth, Martin H.
$3
1202061
245
1 0
$a
Python recipes for Earth sciences
$h
[electronic resource] /
$c
by Martin H. Trauth.
250
$a
Second edition.
260
$a
Cham :
$c
2024.
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
300
$a
xi, 491 p. :
$b
ill. (some col.), 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 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.
650
2 4
$a
Computer and Information Systems Applications.
$3
1365732
650
2 4
$a
Geographical Information System.
$3
1365742
650
1 4
$a
Geophysics.
$3
686174
650
0
$a
Geophysics
$x
Data processing.
$3
1205991
650
0
$a
Earth sciences
$x
Data processing.
$3
881513
650
0
$a
Python (Computer program language)
$3
566246
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
830
0
$a
Springer textbooks in earth sciences, geography and environment.
$3
1142304
856
4 0
$u
https://doi.org/10.1007/978-3-031-56906-7
950
$a
Earth and Environmental Science (SpringerNature-11646)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入