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Humanities data in Rexploring networ...

Arnold, Taylor.

Humanities data in Rexploring networks, geospatial data, images, and text /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Humanities data in Rby Taylor Arnold, Lauren Tilton.
Reminder of title:	exploring networks, geospatial data, images, and text /
Author:	Arnold, Taylor.
other author:	Tilton, Lauren.
Published:	Cham :Springer International Publishing :2015.
Description:	xiii, 211 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-20702-5
ISBN:	9783319207025$q(electronic bk.)

Humanities data in Rexploring networks, geospatial data, images, and text /
Arnold, Taylor.

Humanities data in Rexploring networks, geospatial data, images, and text /[electronic resource] :by Taylor Arnold, Lauren Tilton. - Cham :Springer International Publishing :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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-20702-5doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Humanities data in Rexploring networks, geospatial data, images, and text /
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