When young Arlo accidentally drops a book on the Mayor’s head, the Mayor decides books are dangerous and destroys all the books in town! But thanks to Arlo’s imagination and perseverance, the Mayor finds that suppressing stories cannot stop them from blossoming more beautifully than ever. This timely allegorical tale will be a useful tool for starting conversations with children about the power of activism and the written word.
Literary habits naturally give way to literary affections. Once upon a time, a carpenter entered a forest and happened upon a wolf wearing a feathered cap. Quick -- whose side are you on? If you don't know, we suggest reading a hearty round of fairytales. Stories provide a roadmap for life. This is because stories are life. But oftentimes it's easiest to understand where we are when we can look through other eyes -- from the perspective of someone else, living somewhere else, somewhen else. For those beginning to read for the first time or those beginning to read again, The Book Tree will drop golden apples in your lap, until you can climb high enough to pick for yourself.
Tree-based Methods for Statistical Learning in R provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern statistical and machine learning methodology. The book follows up most ideas and mathematical concepts with code-based examples in the R statistical language; with an emphasis on using as few external packages as possible. For example, users will be exposed to writing their own random forest and gradient tree boosting functions using simple for loops and basic tree fitting software (like rpart and party/partykit), and more. The core chapters also end with a detailed section on relevant software in both R and other opensource alternatives (e.g., Python, Spark, and Julia), and example usage on real data sets. While the book mostly uses R, it is meant to be equally accessible and useful to non-R programmers. Consumers of this book will have gained a solid foundation (and appreciation) for tree-based methods and how they can be used to solve practical problems and challenges data scientists often face in applied work. Features: Thorough coverage, from the ground up, of tree-based methods (e.g., CART, conditional inference trees, bagging, boosting, and random forests). A companion website containing additional supplementary material and the code to reproduce every example and figure in the book. A companion R package, called treemisc, which contains several data sets and functions used throughout the book (e.g., there’s an implementation of gradient tree boosting with LAD loss that shows how to perform the line search step by updating the terminal node estimates of a fitted rpart tree). Interesting examples that are of practical use; for example, how to construct partial dependence plots from a fitted model in Spark MLlib (using only Spark operations), or post-processing tree ensembles via the LASSO to reduce the number of trees while maintaining, or even improving performance.
This is the first book on the history of trees in Britain’s towns and cities and the people who have planted and cared for them. It is a highly readable and authoritative account of the trees in our urban landscapes from the Romans to the present day, including public parks, private gardens, streets, cemeteries and many other open spaces. It charts how our appreciation of urban trees and woodland has evolved into our modern understanding of the many environmental, economic and social benefits of our urban forests. A description is also given of the various threats to these trees over the centuries, such as pollution damage during the Industrial Revolution and the recent ravages of Dutch elm disease. Central and local government initiatives are examined together with the contribution of civic and amenity societies. However, this historical account is not just a catalogue of significant events but gives a deeper analysis by exploring fundamental issues such as who owned those treed landscapes, why they were created and who had access to them. The book concludes with the fascinating story of how trees have contributed to efforts to improve urban conditions through various ‘visions of urban green’ such as the model villages, garden cities, garden suburbs and the new towns. Studies in garden and landscape history have often been preoccupied with those belonging to the rich and powerful. This book focuses particularly on working people and the extent to which they have been able to enjoy urban trees and greenspace. It will appeal to a general readership, especially those with an interest in garden history, heritage landscapes and the natural and built environment. Its meticulous referencing will also ensure it is much appreciated by students and academics pursuing further reading and research. It is written by an internationally renowned arboriculturist who combines a passion for trees with a sound understanding of British social and cultural history.
This monograph extends this approach to the more general investigation of X-lattices, and these "tree lattices" are the main object of study. The authors present a coherent survey of the results on uniform tree lattices, and a (previously unpublished) development of the theory of non-uniform tree lattices, including some fundamental and recently proved existence theorems. Tree Lattices should be a helpful resource to researchers in the field, and may also be used for a graduate course on geometric methods in group theory.
Amateur and more seasoned tree-spotters will welcome this latest addition to the What's that? series. Accessible and straightforward, this book groups trees into their broad families, based on the features that related species share. This allows readers to narrow down their choices to a few likely possibilities before tackling the detail of species identification. The book offers simple, authoritative text, side-bars with interesting additional information, multiple full-colour photographs of some 480 species and their key diagnostic features, and an illustrated glossary of plant parts. This helpful introductory guide will provide an invaluable entry point for anyone interested in getting to know the trees of the region.
In this updated and revised edition of Tree, readers can see a seed grow into a sapling, the changing colors of fall leaves, and the tiny insects that live in rotting leaves on the forest floor, plus learn why deciduous trees lose their leaves in the fall, how a tree breathes, how bark defends trees from attack by animals, and more. Each revised DK Eyewitness book retains the stunning artwork and photography from the groundbreaking original series, but the text has been reduced and reworked to speak more clearly to younger readers. Still on every colorful page: vibrant annotated photographs and the integrated text-and-pictures approach that makes DK Eyewitness a perennial favorite of parents, teachers, and school-age kids.
