50, and 0.25 quantiles of the probability 488 distribution. Colors indicate the probabilistic 486 distribution of trait combinations in the functional trait space defined by a PCA (red = high probability 487 yellow = low probability). (a) Plot of a funspace object created with the function 485 funspace() obtained using all data points in the GSPFF dataset. funspace will provide researchers working with functional traits across the tree of life with an indispensable asset to easily explore: (i) the main features of any functional trait space, (ii) the relationship between a functional trait space and any other biological or non-biological factor that might contribute to shaping species' functional diversity. We provide a worked example to demonstrate a complete funspace workflow.Ĥ. The plotting module provides many options for creating flexible and high-quality figures representing the outputs obtained from previous modules.

The mapping module uses general additive models to map how a target variable distributes within a trait space. The building and exploring module defines the main features of a functional trait space (e.g., functional diversity metrics) by leveraging kernel density-based methods.

The six functions that constitute the package can be grouped in three modules: 'Building and exploring', 'Mapping', and 'Plotting'.ģ. To fill this gap, we propose funspace, an R package to easily handle bivariate and multivariate (PCA-based) functional trait space analyses. Yet, there is no single application that streamlines the many sometimes-troublesome steps needed to build and analyze functional trait spaces.Ģ. Functional trait space analyses are pivotal to define species' ecological strategies across the tree of life.

Build a package in r