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

This book is a practical guide to using R for analyzing humanities data, covering networks, geospatial data, images, and text. It is part of the Quantitative Methods in the Humanities and Social Sciences series.

The second edition updates the original 2015 text, reflecting the growing role of computational methods in digital humanities. It demonstrates how to rethink sources as data and apply programming techniques to animate humanities research.

Readers will learn to work with diverse data types: relational networks, spatial information, images, and textual corpora. The book emphasizes hands-on examples and reproducible workflows using R.

Aimed at humanists and social scientists with little prior programming experience, the book bridges the gap between traditional scholarship and quantitative analysis. It provides a foundation for using R to explore cultural data.

The authors, Taylor Arnold and Lauren Tilton, are experts in digital humanities and computational analysis, and they offer practical insights throughout the text.