Humanities Data in R

Exploring Networks, Geospatial Data, Images, and Text
Author: Taylor Arnold,Lauren Tilton
Publisher: Springer
ISBN: 3319207024
Category: Computers
Page: 211
View: 7573

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​This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. Humanities Data with R does not presuppose background programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. 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. This book uses an expanded conception of the forms data may take and the information it represents. 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. ​

Corpus Linguistics and Statistics with R

Introduction to Quantitative Methods in Linguistics
Author: Guillaume Desagulier
Publisher: Springer
ISBN: 3319645722
Category: Computers
Page: 353
View: 4826

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This textbook examines empirical linguistics from a theoretical linguist’s perspective. It provides both a theoretical discussion of what quantitative corpus linguistics entails and detailed, hands-on, step-by-step instructions to implement the techniques in the field. The statistical methodology and R-based coding from this book teach readers the basic and then more advanced skills to work with large data sets in their linguistics research and studies. Massive data sets are now more than ever the basis for work that ranges from usage-based linguistics to the far reaches of applied linguistics. This book presents much of the methodology in a corpus-based approach. However, the corpus-based methods in this book are also essential components of recent developments in sociolinguistics, historical linguistics, computational linguistics, and psycholinguistics. Material from the book will also be appealing to researchers in digital humanities and the many non-linguistic fields that use textual data analysis and text-based sensorimetrics. Chapters cover topics including corpus processing, frequencing data, and clustering methods. Case studies illustrate each chapter with accompanying data sets, R code, and exercises for use by readers. This book may be used in advanced undergraduate courses, graduate courses, and self-study.

Using Geodata and Geolocation in the Social Sciences

Mapping our Connected World
Author: David Abernathy
Publisher: SAGE
ISBN: 1473965780
Category: Social Science
Page: 344
View: 8396

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Using Geodata and Geolocation in the Social Sciences: Mapping our Connected World provides an engaging and accessible introduction to the Geoweb with clear, step-by-step guides for: Capturing Geodata from sources including GPS, sensor networks and Twitter Visualizing Geodata using programmes including QGIS, GRASS and R Featuring colour images, practical exercises and a companion website packed with resources, this book is the perfect guide for students and teachers looking to incorporate location-based data into their social science research.

Qualitative GIS

A Mixed Methods Approach
Author: Meghan Cope,Sarah Elwood
Publisher: SAGE
ISBN: 1446244563
Category: Science
Page: 192
View: 8194

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Geographic Information Systems are an essential tool for analyzing and representing quantitative spatial data. Qualitative GIS explains the recent integration of qualitative research with Geographical Information Systems With a detailed contextualising introduction, the text is organised in three sections: Representation: examines how researchers are using GIS to create new types of representations; working with spatial data, maps, and othervisualizations to incorporate multiple meanings and to provide texture and context. Analysis: discusses the new techniques of analysis that are emerging at the margins between qualitative research and GIS, this in the wider context of a critical review of mixed-methods in geographical research Theory: questions how knowledge is produced, showing how ideas of 'science' and 'truth' inform research, and demonstrates how qualitative GIS can be used to interrogate discussions of power, community, and social action Making reference to representation, analysis, and theory throughout, the text shows how to frame questions, collect data, analyze results, and represent findings in a truly integrated way. An important addition to the mixed methods literature, Qualitative GIS will be the standard reference for upper-level students and researchers using qualitative methods and Geographic Information Systems.

Approaches and Methodologies in the Social Sciences

A Pluralist Perspective
Author: Donatella Della Porta,Michael Keating
Publisher: Cambridge University Press
ISBN: 1139474596
Category: Political Science
Page: N.A
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A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.

Information Visualization Techniques in the Social Sciences and Humanities


Author: Osinska, Veslava,Osinski, Grzegorz
Publisher: IGI Global
ISBN: 1522549919
Category: Computers
Page: 356
View: 5301

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The representation of abstract data and ideas can be a difficult and tedious task to handle when learning new concepts; however, the advances in emerging technology have allowed for new methods of representing such conceptual data. Information Visualization Techniques in the Social Sciences and Humanities is a critical scholarly resource that examines the application of information visualization in the social sciences and humanities. Featuring coverage on a broad range of topics such as social network analysis, complex systems, and visualization aesthetics, this book is geared towards professionals, students, and researchers seeking current research on information visualization.

Mapping Space, Sense, and Movement in Florence

Historical GIS and the Early Modern City
Author: Nicholas Terpstra,Colin Rose
Publisher: Routledge
ISBN: 1317273664
Category: History
Page: 220
View: 8360

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Mapping Space, Sense, and Movement in Florence explores the potential of digital mapping or Historical GIS as a research and teaching tool to enable researchers and students to uncover the spatial, kinetic and sensory dimensions of the early modern city. The exploration focuses on new digital research and mapping projects that engage the rich social, cultural, and artistic life of Florence in particular. One is a new GIS tool known as DECIMA, (Digitally-Encoded Census Information and Mapping Archive), and the other is a smartphone app called Hidden Florence. The international collaborators who have helped build these and other projects address three questions: how such projects can be created when there are typically fewer sources than for modern cities; how they facilitate more collaborative models for historical research into social relations, senses, and emotions; and how they help us interrogate older historical interpretations and create new models of analysis and communication. Four authors examine technical issues around the software programs and manuscripts. Five then describe how GIS can be used to advance and develop existing research projects. Finally, four authors look to the future and consider how digital mapping transforms the communication of research results, and makes it possible to envision new directions in research. This exciting new volume is illustrated throughout with maps, screenshots and diagrams to show the projects at work. It will be essential reading for students and scholars of early modern Italy, the Renaissance and digital humanities.

Distant Reading


Author: Franco Moretti
Publisher: Verso
ISBN: 1781680841
Category: Literary Criticism
Page: 254
View: 9345

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The formation of an unorthodox literary critic How does a literary historian end up thinking in terms of z-scores, principal component analysis, and clustering coefficient? In the ten essays collected in this volume, Franco Moretti reconstructs the intellectual trajectory of his philosophy of ‘distant reading’. From the evolutionary model of ‘Modern European Literature’, through the geo-cultural dominant of ‘Conjectures on World Literature’ and ‘Planet Hollywood’ to the quantitative findings of ‘Style, inc.’ and the abstract patterns of ‘Network Theory, Plot Analysis’, the book follows two decades of critical explorations that have come to define – well beyond the wildest expectations of its author – a growing field of unorthodox literary studies.

Open Access and the Humanities

Contexts, Controversies and the Future
Author: Martin Paul Eve
Publisher: Cambridge University Press
ISBN: 1316195732
Category: Reference
Page: N.A
View: 2047

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If you work in a university, you are almost certain to have heard the term 'open access' in the past couple of years. You may also have heard either that it is the utopian answer to all the problems of research dissemination or perhaps that it marks the beginning of an apocalyptic new era of 'pay-to-say' publishing. In this book, Martin Paul Eve sets out the histories, contexts and controversies for open access, specifically in the humanities. Broaching practical elements alongside economic histories, open licensing, monographs and funder policies, this book is a must-read for both those new to ideas about open-access scholarly communications and those with an already keen interest in the latest developments for the humanities. This title is also available as Open Access via Cambridge Books Online.

The SAGE Handbook of Social Media Research Methods


Author: Luke Sloan,Anabel Quan-Haase
Publisher: SAGE
ISBN: 1473987210
Category: Social Science
Page: 728
View: 6178

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The SAGE Handbook of Social Media Research Methods offers a step-by-step guide to overcoming the challenges inherent in research projects that deal with 'big and broad data', from the formulation of research questions through to the interpretation of findings. The handbook includes chapters on specific social media platforms such as Twitter, Sina Weibo and Instagram, as well as a series of critical chapters. The holistic approach is organised into the following sections: Conceptualising & Designing Social Media Research Collection & Storage Qualitative Approaches to Social Media Data Quantitative Approaches to Social Media Data Diverse Approaches to Social Media Data Analytical Tools Social Media Platforms This handbook is the single most comprehensive resource for any scholar or graduate student embarking on a social media project.

The Integration of the Humanities and Arts with Sciences, Engineering, and Medicine in Higher Education

Branches from the Same Tree
Author: National Academies of Sciences, Engineering, and Medicine,Policy and Global Affairs,Board on Higher Education and Workforce,Committee on Integrating Higher Education in the Arts, Humanities, Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309470617
Category: Education
Page: 282
View: 8345

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In the United States, broad study in an array of different disciplines â€"arts, humanities, science, mathematics, engineeringâ€" as well as an in-depth study within a special area of interest, have been defining characteristics of a higher education. But over time, in-depth study in a major discipline has come to dominate the curricula at many institutions. This evolution of the curriculum has been driven, in part, by increasing specialization in the academic disciplines. There is little doubt that disciplinary specialization has helped produce many of the achievement of the past century. Researchers in all academic disciplines have been able to delve more deeply into their areas of expertise, grappling with ever more specialized and fundamental problems. Yet today, many leaders, scholars, parents, and students are asking whether higher education has moved too far from its integrative tradition towards an approach heavily rooted in disciplinary “silosâ€. These “silos†represent what many see as an artificial separation of academic disciplines. This study reflects a growing concern that the approach to higher education that favors disciplinary specialization is poorly calibrated to the challenges and opportunities of our time. The Integration of the Humanities and Arts with Sciences, Engineering, and Medicine in Higher Education examines the evidence behind the assertion that educational programs that mutually integrate learning experiences in the humanities and arts with science, technology, engineering, mathematics, and medicine (STEMM) lead to improved educational and career outcomes for undergraduate and graduate students. It explores evidence regarding the value of integrating more STEMM curricula and labs into the academic programs of students majoring in the humanities and arts and evidence regarding the value of integrating curricula and experiences in the arts and humanities into college and university STEMM education programs.

Interdisciplining Digital Humanities

Boundary Work in an Emerging Field
Author: Julie T Klein
Publisher: University of Michigan Press
ISBN: 0472052543
Category: Education
Page: 201
View: 7731

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The first book to test the claim that the emerging field of Digital Humanities is interdisciplinary and also examines the boundary work of establishing and sustaining a new field of study

European Handbook of Crowdsourced Geographic Information


Author: Capineri Capineri,Muki Haklay,Haosheng Huang
Publisher: N.A
ISBN: 9781909188792
Category:
Page: 476
View: 6998

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This book focuses on a new source of geographic information: user generated content accessible over the Internet through mobile and Web applications. The exploitation, integration and application of crowdsourced geographic information allows scientists to conduct research on a variety of topics at multiple scales and for diversified objectives.

Debates in the Digital Humanities


Author: Matthew K. Gold
Publisher: U of Minnesota Press
ISBN: 0816677948
Category: Education
Page: 516
View: 4736

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A series a essays by noted scholars explores the rising academic field of digital humanities, discussing its theories, methods and practices. Simultaneuos. Hardcover available.

Text Analysis with R for Students of Literature


Author: Matthew L. Jockers
Publisher: Springer
ISBN: 3319031643
Category: Computers
Page: 194
View: 7471

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Text Analysis with R for Students of Literature is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological tool kit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that we simply cannot gather using traditional qualitative methods of close reading and human synthesis. Text Analysis with R for Students of Literature provides a practical introduction to computational text analysis using the open source programming language R. R is extremely popular throughout the sciences and because of its accessibility, R is now used increasingly in other research areas. Readers begin working with text right away and each chapter works through a new technique or process such that readers gain a broad exposure to core R procedures and a basic understanding of the possibilities of computational text analysis at both the micro and macro scale. Each chapter builds on the previous as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each chapter concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying.

Digital Methods


Author: Richard Rogers
Publisher: MIT Press
ISBN: 0262313391
Category: Computers
Page: 280
View: 2384

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In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such "methods of the medium" as crawling and crowd sourcing, PageRank and similar algorithms, tag clouds and other visualizations; we can learn how they handle hits, likes, tags, date stamps, and other Web-native objects. By "thinking along" with devices and the objects they handle, digital research methods can follow the evolving methods of the medium. Rogers uses this new methodological outlook to examine such topics as the findings of inquiries into 9/11 search results, the recognition of climate change skeptics by climate-change-related Web sites, and the censorship of the Iranian Web. With Digital Methods, Rogers introduces a new vision and method for Internet research and at the same time applies them to the Web's objects of study, from tiny particles (hyperlinks) to large masses (social media).

Social Science Research

Principles, Methods, and Practices
Author: Anol Bhattacherjee
Publisher: CreateSpace
ISBN: 9781475146127
Category: Science
Page: 156
View: 1482

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This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

Advancing Digital Humanities

Research, Methods, Theories
Author: P. Arthur,K. Bode
Publisher: Springer
ISBN: 113733701X
Category: Social Science
Page: 339
View: 7787

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Advancing Digital Humanities moves beyond definition of this dynamic and fast growing field to show how its arguments, analyses, findings and theories are pioneering new directions in the humanities globally.

R for Business Analytics


Author: A Ohri
Publisher: Springer Science & Business Media
ISBN: 1461443423
Category: BUSINESS & ECONOMICS
Page: 312
View: 6083

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R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.

Data Wrangling with R


Author: Bradley Boehmke
Publisher: Springer
ISBN: 3319455990
Category: Computers
Page: 238
View: 7701

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This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and dates The difference between different data structures and how to create, add additional components to, and subset each data structure How to acquire and parse data from locations previously inaccessible How to develop functions and use loop control structures to reduce code redundancy How to use pipe operators to simplify code and make it more readable How to reshape the layout of data and manipulate, summarize, and join data sets