LEADER 04327nam 22007455 450 001 9910300149403321 005 20251117074606.0 010 $a1-4614-9542-3 024 7 $a10.1007/978-1-4614-9542-0 035 $a(CKB)3710000000094958 035 $a(EBL)1697836 035 $a(OCoLC)875288363 035 $a(SSID)ssj0001187197 035 $a(PQKBManifestationID)11673879 035 $a(PQKBTitleCode)TC0001187197 035 $a(PQKBWorkID)11243262 035 $a(PQKB)10096031 035 $a(MiAaPQ)EBC1697836 035 $a(DE-He213)978-1-4614-9542-0 035 $a(MiAaPQ)EBC4976743 035 $a(Au-PeEL)EBL4976743 035 $a(CaONFJC)MIL600549 035 $a(PPN)177825480 035 $a(EXLCZ)993710000000094958 100 $a20140326d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFunctional and Phylogenetic Ecology in R /$fby Nathan G. Swenson 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (217 p.) 225 1 $aUse R!,$x2197-5736 300 $aDescription based upon print version of record. 311 08$a1-4614-9541-5 320 $aIncludes bibliographical references and index. 327 $aPreface -- Introduction -- Phylogenetic Data in R -- Phylogenetic Diversity -- Functional Diversity -- Phylogenetic & Functional Beta Diversity -- Null Models -- Comparative Methods & Phylogenetic Signal -- Partitioning the Phylogenetic, Functional, Environmental and Spatial Components of Community Diversity -- Integrating R with Other Phylogenetic and Functional Trait Analytical Software -- References -- Index. 330 $aFunctional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. More advanced users will be able to use this volume as a quick reference to understand particular analyses. The volume begins with an introduction to the R environment and handling relevant data in R. Chapters then cover phylogenetic and functional metrics of biodiversity; null modeling and randomizations for phylogenetic and functional trait analyses; integrating phylogenetic and functional trait information; and interfacing the R environment with a popular C-based program. This book presents a unique approach through its focus on ecological analyses and not macroevolutionary analyses. The author provides his own code, so that the reader is guided through the computational steps to calculate the desired metrics. This guided approach simplifies the work of determining which package to use for any given analysis. Example datasets are shared to help readers practice, and readers can then quickly turn to their own datasets. 410 0$aUse R!,$x2197-5736 606 $aStatistics 606 $aEcology 606 $aEvolution (Biology) 606 $aR (Computer program language) 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aEcology$3https://scigraph.springernature.com/ontologies/product-market-codes/L19007 606 $aEvolutionary Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L21001 615 0$aStatistics. 615 0$aEcology. 615 0$aEvolution (Biology) 615 0$aR (Computer program language) 615 14$aStatistics and Computing/Statistics Programs. 615 24$aEcology. 615 24$aEvolutionary Biology. 676 $a577.0285 686 $aWC 7700$2rvk 700 $aSwenson$b Nathan G.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721712 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910300149403321 996 $aFunctional and phylogenetic ecology in R$91410749 997 $aUNINA