Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Schulbücher
	Anthropologie / Anthropology / Application software / B / biotechnology / Computational and corpus linguistics / Computational Linguistics / Computer and Information Systems Applications / Computer Appl. in Arts and Humanities / Computer applications in the arts & humanities / Computer-Anwendungen in Kunst und Geisteswissenschaften / Computerlinguistik und Korpuslinguistik / Mathematics and Statistics / Mathematische und statistische Software / Methodology of the Social Sciences / Social research & statistics / Social Sciences / Soziologie / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs mehr...
ISBN:	9783319366715
EAN-Code:	9783319366715
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Quantitative Methods in the Humanities and Social Sciences
Dimensionen:	H 235 mm / B 155 mm / D 14 mm
Gewicht:	3518 gr
Seiten:	211
Illustration:	XIII, 211 p.
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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 sciences. Humanities Data 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). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. 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. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its myriad packages and popularity within the sciences and social sciences, is particularly well-suited to working with humanities data. R packages are also highlighted in an appendix. This book uses an expanded conception of the forms data may take and the information it represents. 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.