語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Python recipes for earth sciences
~
Trauth, Martin H.
FindBook
Google Book
Amazon
博客來
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 sciences/ by 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.
內容註:
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.
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
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
Standard No.: 10.1007/978-3-031-07719-7doiSubjects--Topical Terms:
729789
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
2303197
003
DE-He213
005
20220928202653.0
007
cr nn 008maaau
008
230409s2022 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
1073913
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
729789
650
0
$a
Earth sciences
$x
Data processing.
$3
544097
650
0
$a
Geophysics
$x
Data processing.
$3
3379372
650
1 4
$a
Earth Sciences.
$3
642591
650
2 4
$a
Geophysics.
$3
535228
650
2 4
$a
Geographical Information System.
$3
3538564
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Springer textbooks in earth sciences, geography and environment.
$3
3241931
856
4 0
$u
https://doi.org/10.1007/978-3-031-07719-7
950
$a
Earth and Environmental Science (SpringerNature-11646)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9444746
電子資源
11.線上閱覽_V
電子書
EB QE48.8
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入