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
Humanities data in R = exploring net...
~
SpringerLink (Online service)
Humanities data in R = exploring networks, geospatial data, images, and text /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Humanities data in R/ by Taylor Arnold, Lauren Tilton.
其他題名:
exploring networks, geospatial data, images, and text /
作者:
Arnold, Taylor.
其他作者:
Tilton, Lauren.
出版者:
Cham :Imprint: Springer, : 2015.,
面頁冊數:
xiii, 211 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:
Springer eBooks
標題:
Anthropology. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-20702-5
ISBN:
9783319207025
Humanities data in R = exploring networks, geospatial data, images, and text /
Arnold, Taylor.
Humanities data in R
exploring networks, geospatial data, images, and text /[electronic resource] :by Taylor Arnold, Lauren Tilton. - Cham :Imprint: Springer,2015. - xiii, 211 p. :ill. (some col.), digital ;24 cm. - Quantitative methods in the humanities and social sciences,2199-0956. - Quantitative methods in the humanities and social sciences..
Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility) Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book's data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.
ISBN: 9783319207025
Standard No.: 10.1007/978-3-319-20702-5doiSubjects--Topical Terms:
558887
Anthropology.
LC Class. No.: QA276
Dewey Class. No.: 519.5
Humanities data in R = exploring networks, geospatial data, images, and text /
LDR
:02562nam a2200325 a 4500
001
838603
003
DE-He213
005
20160413153817.0
006
m d
007
cr nn 008maaau
008
160616s2015 gw s 0 eng d
020
$a
9783319207025
$q
(electronic bk.)
020
$a
9783319207018
$q
(paper)
024
7
$a
10.1007/978-3-319-20702-5
$2
doi
035
$a
978-3-319-20702-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA276
072
7
$a
UFM
$2
bicssc
072
7
$a
COM077000
$2
bisacsh
082
0 4
$a
519.5
$2
23
090
$a
QA276
$b
.A759 2015
100
1
$a
Arnold, Taylor.
$3
1069838
245
1 0
$a
Humanities data in R
$h
[electronic resource] :
$b
exploring networks, geospatial data, images, and text /
$c
by Taylor Arnold, Lauren Tilton.
260
$a
Cham :
$c
2015.
$b
Imprint: Springer,
$b
Springer International Publishing :
300
$a
xiii, 211 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Quantitative methods in the humanities and social sciences,
$x
2199-0956
505
0
$a
Set-up -- A Short Introduction to R -- EDA I Continuous and Categorical Data -- EDA II Multivariate Analysis -- EDA III Advanced Graphics -- Networks -- Geospatial Data -- Image Data -- Natural Language Processing -- Text Analysis -- Appendix.
520
$a
This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social scientists. Exploring Humanities Data Types with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility) Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. The book's data, code, appendix with 100 basic programming exercises and solutions, and dedicated website are valuable resources for readers. The methodology will have wide application in classrooms and self-study for the humanities, but also for use in linguistics, anthropology, and political science. Outside the classroom, this intersection of humanities and computing is particularly relevant for research and new modes of dissemination across archives, museums and libraries.
650
2 4
$a
Anthropology.
$3
558887
650
2 4
$a
Computational Linguistics.
$3
670080
650
2 4
$a
Methodology of the Social Sciences.
$3
669263
650
2 4
$a
Computer Appl. in Arts and Humanities.
$3
669937
650
2 4
$a
Statistics and Computing/Statistics Programs.
$3
669775
650
1 4
$a
Statistics.
$3
556824
650
0
$a
R (Computer program language)
$3
679069
650
0
$a
Humanities
$x
Statistical methods
$x
Data processing.
$3
1069841
650
0
$a
Mathematical statistics.
$3
527941
700
1
$a
Tilton, Lauren.
$3
1069839
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Quantitative methods in the humanities and social sciences.
$3
1069840
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-20702-5
950
$a
Mathematics and Statistics (Springer-11649)
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