Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text
Arnold, Taylor, Tilton, Lauren
相關主題
商品描述
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. The book is designed to be a bridge between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. The second edition of the text is a significant revision, with almost every aspect of the text rewritten in some way. The most notable difference is the incorporation of new R packages such as ggplot2 and dplyr that center broad data-science concepts.
This 2nd edition of Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis, with one chapter dedicated to each stage of the data-science pipeline (data collection, visualization, manipulation, and relational joins). Following this, text analysis, networks, temporal data, geospatial data, and image analysis each have a dedicated chapter. These are grounded in examples to move readers beyond the intimidation of adding new tools to their research. The final section of the book extends the core material with additional computer science techniques for processing large datasets.
Everything is hands-on: image analysis is explained using digitized photographs from the 1930s, and networks are applied to page links on Wikipedia. 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.
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.
商品描述(中文翻譯)
本書教讀者如何使用R程式語言將數據分析技術整合到人文研究實踐中。首先介紹了通用可視化和分析方法，然後介紹了特定領域的技術，包括網絡、文本、地理空間數據、時間數據和圖像。本書旨在成為定量和定性方法、個人和協作工作、人文學科和社會科學之間的橋樑。第二版是一次重大修訂，幾乎每個方面都有所改寫。最明顯的差異是引入了新的R套件，如ggplot2和dplyr，這些套件集中了廣泛的數據科學概念。
《Humanities Data with R》第二版不需要預先具備編程經驗。早期章節將讀者從R設置引導到探索性數據分析，每個數據科學流程階段（數據收集、可視化、操作和關聯連接）都有一章專門介紹。之後，文本分析、網絡、時間數據、地理空間數據和圖像分析各有專門章節。這些章節以實例為基礎，幫助讀者克服對於添加新工具到研究中的恐懼。本書的最後一部分通過額外的計算機科學技術介紹了處理大型數據集的方法。
本書的所有內容都是實踐性的：圖像分析使用的是1930年代的數字化照片，網絡分析應用於維基百科的頁面連結。通過使用提供的數據、代碼和書籍網站進行這些示例，讀者將能夠將新方法應用於自己的工作中。開源的R程式語言以及其在科學和社會科學領域的廣泛應用和流行度，使其特別適合處理人文數據。附錄中還突出了R套件。
這種方法在人文學科的課堂和自學中具有廣泛應用，同時也適用於語言學、人類學和政治學等領域。在課堂之外，人文學科和計算機的交叉對於跨檔案、博物館和圖書館的研究和新的傳播方式尤其重要。
作者簡介
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.
作者簡介(中文翻譯)
Taylor Arnold是Richmond大學的數據科學和統計學教授，並在語言學和認知科學的跨學科項目中擔任聯合教職。他的研究應用和開發基於語料庫的技術和軟件，研究信息如何通過視覺和多模態形式進行傳達。Arnold是四本書的合著者:《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)和《Distant Viewing: Analyzing Visual Culture at Scale》(MIT Press, 2023)。
Lauren Tilton是Richmond大學修辭和傳播研究系的E. Claiborne Robins教授，專注於20世紀和21世紀美國視覺文化的研究。她是Photogrammar的主任，這是一個由ACLS和NEH資助的數字公共人文項目，用於繪製新政和二戰時期的紀錄表達。她是《Humanities Data in R: Exploring Networks, Geospatial Data, Images and Texts》(Springer, 2015)、《Layered Lives》(Stanford University Press, 2022)和《Distant Viewing: Analyzing Visual Culture at Scale》(MIT Press, 2023)的作者。她的學術論文發表在《American Quarterly》、《Archive Journal》、《Digital Humanities Quarterly》和《Digital Scholarship in the Humanities》等期刊上。她是《Computational Humanities (Debates in the Digital Humanities)》的合編者，該書目前正在與明尼蘇達大學出版社合作出版。
