Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text
Springer | Computer Science | October 25, 2015 | ISBN-10: 3319207016 | 211 pages | pdf | 9.81 mb
by Taylor Arnold (Author), Lauren Tilton (Author)
Provides a user-friendly beginners guide to the key concepts in the digital humanities by focusing on four major types of humanities data structures: networks, text corpora, geospatial data, and images
Assumes no prior programming experience
Suitable for a one-semester course at the university level for undergraduate, graduate and professional students, or as half or full-day tutorial or seminar