Humanities Data in R : Exploring Networks, Geospatial Data, Images, and Text / by Taylor Arnold, Lauren Tilton.

Format:

Book

Author/Creator:

Arnold, Taylor, Author.

Tilton, Lauren, Author.

Series:

Quantitative Methods in the Humanities and Social Sciences, 2199-0964

Language:

English

Subjects (All):

Mathematical statistics--Data processing.

Mathematical statistics.

Digital humanities.

Sociology--Methodology.

Sociology.

Computational linguistics.

Anthropology.

Statistics and Computing.

Digital Humanities.

Sociological Methods.

Computational Linguistics.

Local Subjects:

Statistics and Computing.

Digital Humanities.

Sociological Methods.

Computational Linguistics.

Anthropology.

Physical Description:

1 online resource (XIII, 211 p. 50 illus., 33 illus. in color.)

Edition:

1st ed. 2015.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2015.

Language Note:

English

Summary:

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.

Contents:

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.

Notes:

Bibliographic Level Mode of Issuance: Monograph

ISBN:

3-319-20702-4

OCLC:

922537749