LEADER 00852nam0-22003011i-450- 001 990004083920403321 005 20160511124556.0 010 $a0-85976-174-6 035 $a000408392 035 $aFED01000408392 035 $a(Aleph)000408392FED01 035 $a000408392 100 $a19990604d1987----km-y0itay50------ba 101 0 $aeng 105 $ay-------001cd 200 1 $aVirtuous discourse$esensibility and community in late aighteenth-century Scotland$fJohn Dwyer 210 $aEdinburgh$cDonald$d1987 215 $aVIII, 204 p.$d24 cm 610 0 $aMorale$aScozia$aSec. 19. 676 $a170 700 1$aDwyer,$bJohn$0157960 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990004083920403321 952 $aP.1 FRM 1105$bDFM.1992$fFLFBC 959 $aFLFBC 996 $aVirtuous discourse$9479684 997 $aUNINA LEADER 04408nam 22006735 450 001 9910254076603321 005 20220729142736.0 010 $a3-319-28893-8 024 7 $a10.1007/978-3-319-28893-2 035 $a(CKB)3710000000667124 035 $a(EBL)4528420 035 $a(DE-He213)978-3-319-28893-2 035 $a(MiAaPQ)EBC4528420 035 $a(PPN)194078027 035 $a(EXLCZ)993710000000667124 100 $a20160513d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData-driven Modelling of Structured Populations $eA Practical Guide to the Integral Projection Model /$fby Stephen P. Ellner, Dylan Z. Childs, Mark Rees 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (339 p.) 225 1 $aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4789 300 $aDescription based upon print version of record. 311 $a3-319-28891-1 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Simple Deterministic IPM -- Basic Analysis 1: Demographic Measures and Events in the Life Cycle -- Basic Analysis 2: Prospective Perturbation Analysis -- Density Dependence -- General Deterministic IPM -- Environmental Stochasticity -- Spatial Models -- Evolutionary Demography -- Future Directions and Advanced Topics. 330 $aThis book is a ?How To? guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub. Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK. 410 0$aLecture Notes on Mathematical Modelling in the Life Sciences,$x2193-4789 606 $aBiomathematics 606 $aBioinformatics 606 $aBioinformātica$2lemac 606 $aComputational biology 606 $aBiomatemātica$2lemac 606 $aBiologia computacional$2lemac 606 $aMathematical and Computational Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/M31000 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 615 0$aBiomathematics. 615 0$aBioinformatics. 615 7$aBioinformātica. 615 0$aComputational biology. 615 7$aBiomatemātica. 615 7$aBiologia computacional. 615 14$aMathematical and Computational Biology. 615 24$aComputer Appl. in Life Sciences. 676 $a333.95411072 700 $aEllner$b Stephen P$4aut$4http://id.loc.gov/vocabulary/relators/aut$0311082 702 $aChilds$b Dylan Z$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aRees$b Mark$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254076603321 996 $aData-driven Modelling of Structured Populations$92106912 997 $aUNINA