Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text - Couverture rigide

Livre 18 sur 18: Quantitative Methods in the Humanities and Social Sciences

Arnold, Taylor; Tilton, Lauren

 
9783031625657: Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text

Synopsis

This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming language. Methods for general-purpose visualization and analysis are introduced first, followed by domain-specific techniques for working with networks, text, geospatial data, temporal data, and images.

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À propos de l?auteur

Taylor Arnold is Professor of Data Science & Statistics at the University of Richmond and affiliated faculty in the interdisciplinary programs in linguistics and cognitive science. His research applies and develops corpus-based techniques and software to study how messages are communicated through visual and multimodal forms. Arnold is the co-author of four books: Humanities Data in R: Exploring Networks, Geospatial Data, Images and Texts (Springer, 2015), A Computational Approach to Statistical Learning (CRC Press, 2019), Layered Lives (Stanford University Press, 2022), and Distant Viewing: Analyzing Visual Culture at Scale (MIT Press, 2023).

Lauren Tilton is the E. Claiborne Robins Professor of Liberal Arts and Digital Humanities in the Department of Rhetoric and Communication Studies at the University of Richmond. Her research focuses on 20th and 21st century U.S. visual culture. She is director of Photogrammar, a digital public humanities project mapping New Deal and World War II documentary expression funded by the ACLS and NEH, and author of Humanities Data in R: Exploring Networks, Geospatial Data, Images and Texts (Springer, 2015), Layered Lives (Stanford University Press, 2022), and Distant Viewing: Analyzing Visual Culture at Scale (MIT Press, 2023). Her scholarship has appeared in journals such as American Quarterly, Archive Journal, Digital Humanities Quarterly, and Digital Scholarship in the Humanities. She is the co-editor of Computational Humanities (Debates in the Digital Humanities), currently in production with the University of Minnesota Press.

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Autres éditions populaires du même titre

9783031625688: Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text

Edition présentée

ISBN 10 :  3031625684 ISBN 13 :  9783031625688
Editeur : Springer, 2025
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