Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text
暫譯: R中的人文數據：探索網絡、地理空間數據、圖像與文本
Arnold, Taylor, Tilton, Lauren
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)
這本書教導讀者如何將數據分析技術整合到人文研究實踐中，使用 R 程式語言。首先介紹一般用途的可視化和分析方法，接著是針對特定領域的技術，涵蓋網絡、文本、地理空間數據、時間數據和圖像。這本書旨在成為定量與定性方法、個人與協作工作，以及人文學科與社會科學之間的橋樑。第二版的文本經過重大修訂，幾乎每個部分都以某種方式重新編寫。最顯著的差異是納入了新的 R 套件，如 ggplot2 和 dplyr，這些套件集中於廣泛的數據科學概念。
這本 Humanities Data with R 的第二版不假設讀者具備背景程式設計經驗。早期章節引導讀者從 R 的設置到探索性數據分析，每個數據科學流程的階段（數據收集、可視化、操作和關聯連接）都有一章專門介紹。隨後，文本分析、網絡、時間數據、地理空間數據和圖像分析各有一章專門討論。這些內容以實例為基礎，幫助讀者克服將新工具添加到研究中的恐懼。書的最後一部分擴展了核心材料，提供了處理大型數據集的額外計算機科學技術。
所有內容都是實作導向的：圖像分析使用1930年代的數位化照片進行解釋，網絡則應用於維基百科的頁面連結。在使用提供的數據、代碼和書籍網站完成這些範例後，讀者將能夠將新方法應用於自己的工作。開源的 R 程式語言，因其眾多的套件和在科學及社會科學中的受歡迎程度，特別適合處理人文數據。附錄中也突出了 R 套件。
這種方法論在教室和自學的人文學科中將有廣泛的應用，但也適用於語言學、人類學和政治學。在課堂之外，人文學科與計算機的交集對於研究和在檔案館、博物館和圖書館之間的新型傳播模式尤其相關。
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 是里士滿大學數據科學與統計學的教授，並且是語言學和認知科學跨學科項目的附屬教員。他的研究應用並開發基於語料庫的技術和軟體，以研究信息如何通過視覺和多模態形式進行傳達。Arnold 是四本書的共同作者：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 是里士滿大學修辭與傳播研究系的 E. Claiborne Robins 自由藝術與數位人文學教授。她的研究專注於20世紀和21世紀的美國視覺文化。她是 Photogrammar 的負責人，這是一個數位公共人文學項目，旨在繪製新政和第二次世界大戰的紀錄片表達，該項目由 ACLS 和 NEH 資助。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。她的學術作品已發表於《American Quarterly》、《Archive Journal》、《Digital Humanities Quarterly》和《Digital Scholarship in the Humanities》等期刊。她是《Computational Humanities (Debates in the Digital Humanities)》的共同編輯，目前正在明尼蘇達大學出版社出版中。
