{"product_id":"9783032061829","title":"Methods in Statistical Ecology","description":"\u003ch1\u003eMethods in Statistical Ecology\u003c\/h1\u003e \u003ch2\u003eMorgan, Byron J. T.; Dennis, Emily B.; Buckland, Stephen T.\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-US;\"\u003eThis book describes a range of models for ecological data sets using both classical and Bayesian methods of inference, and illustrates their use through a varied set of real examples. These examples exhibit a range of sampling schemes, applied to various taxa and in varying environmental conditions. The book also describes pitfalls to be avoided in the design and analysis of ecological surveys. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-US;\"\u003eModels may be spatial and\/or temporal, and often include covariates such as measures of habitat, temperature and rainfall. Covariate selection for given problems is discussed. Other topics include the construction of individual species spatial maps, how spatial distributions change over time, \u003c\/span\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman';\"\u003emodels for unmarked and marked\/identifiable individuals, integrated analysis, \u003c\/span\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-US;\"\u003eand how methods can be used to estimate biodiversity. In addition, the book reviews emerging new technologies; for instance, remote sensing and the use of drones, which result in opportunities for new methods of analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-US;\"\u003eThis book is a source of reference for postgraduates and research scientists in statistics and ecology. It may be used for graduate-level teaching, as well as a research reference. It critically and comprehensively presents the most up-to-date statistical modeling work in the area, recommending statistical methods. There is an extensive bibliography and multiple links to computer programs written in R, BUGS and other languages, as well as relevant computer packages; computing material may be accessed via download from the book website.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-07-10\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032061829\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 448\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44408307646604,"sku":"9783032061829","price":80.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032061829.jpg?v=1779941688","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032061829","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}