At the 2013 "CelebratingThe Hobbit" conference at Valparaiso University - marking the 75th anniversary of the book's publication and the first installment of Peter Jackson's Hobbit movies - two ...plenary papers were presented: "Anchoring the Myth: The Impact of The Hobbit on Tolkien's Legendarium" by John D. Rateliff provided numerous examples ofThe Hobbit's influence on Tolkien's legendarium; and "Tolkien's French connections" by Verlyn Flieger discussed French influences on the development of Bilbo Baggins and his adventures. In discussions with the plenary speakers and other presenters, it became apparent that a book focusing on howThe Hobbitinfluenced the subsequent development of Tolkien's legendarium; was sorely needed.
This collection of essays fills that need. With Rateliff's and Flieger's papers included, the book presents two chapters on the Evolution of the Dwarven Race, two chapters on Durin's Day examining the Dwarven lunar calendar, and 11 chapters on themes exploring various topics on influences and revisions betweenThe Hobbitand Tolkien's legendarium.
Perilous Realmsgives this advantage to all readers and provides new discoveries, including material from obscure, little-known Celtic texts and a likely new source for the name 'hobbit.' It is truly ...essential reading for Tolkien fans.
There has been a dramatic growth in the development and application of Bayesian inferential methods. This book introduces Bayesian modeling by the use of computation using the R language. The new ...edition contains changes in the R code illustrations.
Lecturers - request an e-inspection copy of this text or contact your local SAGE representative to discuss your course needs. Watch Andy Field's introductory video to Discovering Statistics Using R ...Keeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual understanding of what you're doing, the emphasis is on applying what you learn to playful and real-world examples that should make the experience more fun than you might expect. Like its sister textbooks, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is augmented by a cast of characters to help the reader on their way, together with hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more. Given this book's accessibility, fun spirit, and use of bizarre real-world research it should be essential for anyone wanting to learn about statistics using the freely-available R software.
Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers ...everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics. Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R Step-by-step instructions for fitting models to messy, real-world data Balanced view of different statistical approaches Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) Techniques for data manipulation and graphical display Companion Web site with data and R code for all examples
The promised land de b'Beri, Boulou; Reid-Maroney, Nina; Wright, Handel K
The promised land,
2014., 20140606, 2014, 2014-06-06, 2014-06-09
eBook
"Eschewing the often romanticized Underground Railroad narrative that portrays southern Ontario as the welcoming destination of Blacks fleeing from slavery, The Promised Land reveals the Chatham-Kent ...area as a crucial settlement site for an early Black presence in Canada. The contributors present the everyday lives and professional activities of individuals and families in these communities and highlight early cross-border activism to end slavery in the United States and to promote civil rights in the United States and Canada. Essays also reflect on the frequent intermingling of local Black, White, and First Nations people. Using a cultural studies framework for their collective investigations, the authors trace physical and intellectual trajectories of Blackness that have radiated from southern Ontario to other parts of Canada, the United States, the Caribbean, and Africa. The result is a collection that represents the presence and diffusion of Blackness and inventively challenges the grand narrative of history."--Publisher's website.
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkinson's Grammar of Graphics to create a powerful and flexible system for creating data ...graphics. It teaches how to create graphics in R using ggplot.
This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. This new edition has been updated to R 2.6.2 and ...features new and expanded coverage.
Numerical Ecology with R Borcard, Daniel; Gillet, Francois; Legendre, Pierre
2011, 20101229, 2011-03-01
eBook, Book
Odprti dostop
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, the ...authors accompany the users through the exploration of the methods by means of applied and extensively commented examples. Users are invited to use this book as a teaching companion at the computer. The travel starts with exploratory approaches, proceeds with the construction of association matrices, then addresses three families of methods: clustering, unconstrained and canonical ordination, and spatial analysis. All the necessary data files, the scripts used in the chapters, as well as the extra R functions and packages written by the authors, can be downloaded from a web page accessible through the Springer web site (http://www.bio.umontreal.ca/numecolR/). This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. The three authors teach numerical ecology, both theoretical and practical, to a wide array of audiences, in regular courses in their Universities and in short courses given around the world. Daniel Borcard is lecturer of Biostatistics and Ecology and researcher in Numerical Ecology at Université de Montréal, Québec, Canada. François Gillet is professor of Community Ecology and Ecological Modelling at Université de Franche-Comté, Besançon, France. Pierre Legendre is professor of Quantitative Biology and Ecology at Université de Montréal, Fellow of the Royal Society of Canada, and ISI Highly Cited Researcher in Ecology/Environment.
Few settings in literature are as widely known or celebrated as J.R.R. Tolkien's Middle-Earth. The natural landscape plays a major role in nearly all of Tolkien's major works, and readers have come ...to view the geography of this fictional universe as integral to understanding and enjoying Tolkien's works. And in laying out this continent, Tolkien paid special attention to its plant life; in total, over 160 plants are explicitly mentioned and described as a part of Middle-Earth. Nearly all of these plants are real species, and many of the fictional plants are based on scientifically grounded botanic principles. In Flora of Middle Earth: Plants of Tolkien's Legendarium, botanist Walter Judd gives a detailed species account of every plant found in Tolkien's universe, complete with the etymology of the plant's name, a discussion of its significance within Tolkien's work, a description of the plant's distribution and ecology, and an original hand-drawn illustration by artist Graham Judd in the style of a woodcut print. Among the over three-thousand vascular plants Tolkien would have seen in the British Isles, the authors show why Tolkien may have selected certain plants for inclusion in his universe over others, in terms of their botanic properties and traditional uses. The clear, comprehensive alphabetical listing of each species, along with the visual identification key of the plant drawings, adds to the reader's understanding and appreciation of the Tolkien canon.