{"product_id":"9781441977618","title":"Forest Analytics with R: An Introduction","description":"\u003cem\u003eForest Analytics with R\u003c\/em\u003e combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications.\u003cbr\u003eThe modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. \u003cbr\u003eThe book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics,\u003cbr\u003eand very basic applied mathematics.","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":47030433579248,"sku":"9781441977618","price":79.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781441977618_p0.jpg?v=1763796065","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781441977618","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}