000 | 01890 a2200241 4500 | ||
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008 | 230712b xxu||||| |||| 00| 0 | ||
020 | _a9781108492461 | ||
020 | _a9781108716789 | ||
040 | _aCIFRI LIBRARY | ||
082 | _a577.2/2 | ||
100 | _aOvaskainen, Otso | ||
245 |
_aJoint species distribution modelling : _bwith applications in R / _cOtso Ovaskainen and Nerea Abrego |
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260 |
_aUnited Kingdom : _bCAMBRIDGE University Press , _c2020 . |
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300 |
_axvi , 372 p. : _bfig., ill. ; _c23 cm. |
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440 | _aEcology, biodiversity and conservation | ||
500 | _aIncludes bibliographical references and index. | ||
520 | _a'"Joint Species Distribution Modelling (JSDM) is a fastdeveloping field and promises to revolutionise how data on ecological communities are analysed and interpreted. Written for both readers with a limited statistical background, and those with statistical expertise, this book provides a comprehensive account of JSDM. It enables readers to integrate data on species abundances, environmental covariates, species traits, phylogenetic relationships, and the spatio-temporal context in which the data have been acquired. Step-by-step coverage of the full technical detail of statistical methods is provided, as well as advice on interpreting results of statistical analyses in the broader context of modern community ecology theory. With the advantage of numerous example R-scripts, this is an ideal guide to help graduate students and researchers learn how to conduct and interpret statistical analyses in practice with the R package HMSC-R, providing a fast starting point for applying joint species distribution modelling to their own data"-- Provided by publisher. | ||
650 | _aBiogeography--Statistical methods | ||
650 | _aEcology--Statistical methods | ||
650 | _aR (Computer program language) | ||
700 | _aAbrego, Nerea | ||
942 |
_2ddc _cBK _01 |
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999 |
_c9824 _d9824 |