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Wildlife in the Anthropocene : Conservation after Nature
Elephants rarely breed in captivity and are not considered domesticated, yet they interact with people regularly and adapt to various environments.Too social and sagacious to be objects, too strange to be human, too captive to truly be wild, but too wild to be domesticated—where do elephants fall in our understanding of nature?In Wildlife in the Anthropocene, Jamie Lorimer argues that the idea of nature as a pure and timeless place characterized by the absence of humans has come to an end.But life goes on. Wildlife inhabits everywhere and is on the move; Lorimer proposes the concept of wildlife as a replacement for nature.Offering a thorough appraisal of the Anthropocene—an era in which human actions affect and influence all life and all systems on our planet— Lorimer unpacks its implications for changing definitions of nature and the politics of wildlife conservation.Wildlife in the Anthropocene examines rewilding, the impacts of wildlife films, human relationships with charismatic species, and urban wildlife.Analyzing scientific papers, policy documents, and popular media, as well as a decade of fieldwork, Lorimer explores the new interconnections between science, politics, and neoliberal capitalism that the Anthropocene demands of wildlife conservation.Imagining conservation in a world where humans are geological actors entangled within and responsible for powerful, unstable, and unpredictable planetary forces, this work nurtures a future environmentalism that is more hopeful and democratic.
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Working with Conservation Data
Working with Conservation Data provides a practical, step-by-step guide that describes how to approach the issue of documentation in a professional conservation environment. Documentation forms an essential part of conservation work, allowing conservators to preserve essential information about objects over time.With the increasing popularity of digital tools for documenting conservation work, it is important that a solid framework for organising this information is in place.Each chapter within this book corresponds to an individual step of a larger process of documentation, providing readers with not only a reference for specific parts of the process, but also a thorough guide to implementing or improving a conservation documentation system.The book explores important concepts involved in the documentation of conservation, as well as research and practical questions, and an analysis of implicit information embedded within conservation data and how it can be used to answer conservation questions.It also outlines best practices for producing conservation data and recommendations for structuring and sharing conservation data, so that documentation records can be easily retrieved and combined with other data. Working with Conservation Data is an invaluable reference work suitable for conservators working on documentation projects, as well as professionals working in the computing and information departments of museums, galleries, libraries and archives.
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Wildlife Conservation
Featuring twenty of the world's most 'at risk' animals, this book teaches young naturalists about conservation programs protect the lives of endangered wild animals from hunters, poachers, illness and other threats.Understanding these threats is balanced with conservation success stories from around the globe to give the reader hope for the future.Clearly written text, maps, quotes and stunning full-page illustrations bring the reality into focus for the reader.
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Data Preparation and Exploration : Applied to Healthcare Data
Data scientists spend more than two-thirds of their time cleaning, preparing, exploring, and visualizing data before it is ready for modeling and mining.This textbook covers the important steps of data preparation and exploration that anyone who deals with data should know. This textbook is an excellent companion text for our other textbook Introduction to Biomedical Data Science. The data preparation and exploration methods we include are spreadsheet and statistics package approaches, as well as the programming languages R and Python.The reader is introduced to the free stat packages Jamovi and BlueSky Statistics.Multiple techniques for data visualization are presented.Medical datasets are used for demonstrations and student exercises.Importantly, chapter content is supplemented with YouTube videos.Chapters are well referenced (100+) and there is a chapter on health data resources so the reader can find data to prepare and explore on their own. Prominent issues such as how to handle missing data and imbalanced datasets are covered along with sections on descriptive statistics, visualization, correlations, handling duplicates and outliers, scaling, standardization, and much more.A downloadable Data Checklist is available on https://www.informaticseducation.org
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Data Sketches : A journey of imagination, exploration, and beautiful data visualizations
In Data Sketches, Nadieh Bremer and Shirley Wu document the deeply creative process behind 24 unique data visualization projects, and they combine this with powerful technical insights which reveal the mindset behind coding creatively.Exploring 12 different themes – from the Olympics to Presidents & Royals and from Movies to Myths & Legends – each pair of visualizations explores different technologies and forms, blurring the boundary between visualization as an exploratory tool and an artform in its own right.This beautiful book provides an intimate, behind-the-scenes account of all 24 projects and shares the authors’ personal notes and drafts every step of the way. The book features:Detailed information on data gathering, sketching, and coding data visualizations for the web, with screenshots of works-in-progress and reproductions from the authors’ notebooksNever-before-published technical write-ups, with beginner-friendly explanations of core data visualization conceptsPractical lessons based on the data and design challenges overcome during each projectFull-color pages, showcasing all 24 final data visualizationsThis book is perfect for anyone interested or working in data visualization and information design, and especially those who want to take their work to the next level and are inspired by unique and compelling data-driven storytelling.
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Wildlife Conservation Diploma Course
This course explores the importance of wildlife conservation and the strategies used to create and maintain a successful wildlife conservation programme.
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights.We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle.It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide.If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with dataPursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualizationLearn how to use modeling to describe the dataGeneralize findings beyond the data
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Daphne Draws Data : A Storytelling with Data Adventure
With every stroke of her crayon, Daphne transforms numbers into stories, helping new friends solve their problems with the power of data! Daphne is not your ordinary dragon. She doesn't breathe fire—she breathes life into numbers, turning them into pictures that unravel mysteries, forge friendships, and save the day!From the imaginative mind of bestselling author Cole Nussbaumer Knaflic and the vibrant illustrations of John Skewes comes a story that will captivate kids and parents alike.Follow Daphne’s journey to distant lands, where numbers are heroes in disguise and her adventures teach the basics of graphs in a way that’s fun, interactive, and empowering. Young readers will be delighted by the endearing character of Daphne.They’ll be equally enchanted by her colorful companions, amazed by her clever lessons, and inspired to build their own analytical skills (STEM).Daphne’s story isn’t solely about data; it’s also about appreciating that everyone has their own special talents.It's about teamwork, creativity, and the beauty of seeing the world through a different lens. Dive into Daphne Draws Data and let your child draw their own conclusions, both on the page and in the world.This smart tale is perfect for bedtime stories, classroom reads, and fostering the next generation of curious minds and innovative thinkers.
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