{"product_id":"statistics-in-natural-resources-applications-with-r","title":"Statistics in Natural Resources","description":"\u003cp\u003eTo manage our environment sustainably, professionals must understand the quality and quantity of our natural resources. Statistical analysis provides information that supports management decisions and is universally used across scientific disciplines. \u003cstrong\u003eStatistics in Natural Resources: Applications with R\u003c\/strong\u003e focuses on the application of statistical analyses in the environmental, agricultural, and natural resources disciplines. This is a book well suited for current or aspiring natural resource professionals who are required to analyze data and perform statistical analyses in their daily work. More seasoned professionals who have previously had a course or two in statistics will also find the content familiar. This text can also serve as a bridge between professionals who understand statistics and want to learn how to perform analyses on natural resources data in R.\u003c\/p\u003e\u003cp\u003eThe primary goal of this book is to learn and apply common statistical methods used in natural resources by using the R programming language. If you dedicate considerable time to this book, you will:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDevelop analytical and visualization skills for investigating the behavior of agricultural and natural resources data.\u003c\/li\u003e\n\u003cli\u003eBecome competent in importing, analyzing, and visualizing complex data sets in the R environment.\u003c\/li\u003e\n\u003cli\u003eRecode, combine, and restructure data sets for statistical analysis and visualization.\u003c\/li\u003e\n\u003cli\u003eAppreciate probability concepts as they apply to environmental problems.\u003c\/li\u003e\n\u003cli\u003eUnderstand common distributions used in statistical applications and inference.\u003c\/li\u003e\n\u003cli\u003eSummarize data effectively and efficiently for reporting purposes.\u003c\/li\u003e\n\u003cli\u003eLearn the tasks required to perform a variety of statistical hypothesis tests and interpret their results.\u003c\/li\u003e\n\u003cli\u003eUnderstand which modeling frameworks are appropriate for your data and how to interpret predictions.\u003c\/li\u003e\n\u003cli\u003eIncludes over 130 exercises in R, with solutions available on the book’s website.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":49780850262360,"sku":"9781032259543","price":61.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781032259543_e7a3148d-5d32-4e9c-afdd-42a69219d311.jpg?v=1777277726","url":"https:\/\/agendabookshop.com\/products\/statistics-in-natural-resources-applications-with-r","provider":"Agenda Bookshop","version":"1.0","type":"link"}