Jaaj.sk je nový FREE porovnávač produktov a cien. Budujeme AI alternatívu ku klasickým porovnávačom

Spúšťame databázu
Produkty • kategórie • porovnania

Functional and Phylogenetic Ecology in R Swenson Nathan G.

Functional and Phylogenetic Ecology in R Swenson Nathan G. Phylogenetic and Functional Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Increasingly…

od 126 €

Specifikacia Functional and Phylogenetic Ecology in R Swenson Nathan G.


Functional and Phylogenetic Ecology in R Swenson Nathan G.

Phylogenetic and Functional Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Increasingly these tools are implemented in R, thus greatly expanding their impact. Over the past decade, a dizzying array of tools and methods were generated to incorporate phylogenetic and functional information into traditional ecological analyses.

More advanced users will be able to use this volume as a quick reference to understand particular analyses. Researchers getting started in R can use this volume as a step-by-step entryway into phylogenetic and functional analyses for ecology in R. The volume begins with an introduction to the R environment and handling relevant data in R.

Functional and Phylogenetic Ecology in R Swenson Nathan G. patrí medzi produkty, ktoré ponúkajú vyvážený pomer kvality a ceny. V hornej časti stránky nájdeš hlavný prehľad, nižšie podrobné vlastnosti a technické parametre.

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.§

Top