Routines for creating, manipulating, and performing 
 Bayesian inference about Gaussian processes in 
 one and two dimensions using the Fourier basis approximation: 
 simulation and plotting of processes, calculation of 
 coefficient variances, calculation of process density, 
 coefficient proposals (for use in MCMC).  It uses R environments to
 store GP objects as references/pointers.

Implements the diffusion map method of dimensionality reduction and spectral method of combining multiple diffusion maps, including creation of the spectra and visualization of maps.

Tools for obtaining, processing, and visualizing spectral reflectance data for the user-defined land or water surface classes for visual exploring in which wavelength the classes differ. Input should be a shapefile with polygons of surface classes (it might be different habitat types, crops, vegetation, etc.). The Sentinel-2 L2A satellite mission optical bands pixel data are obtained through the Google Earth Engine service (<https://earthengine.google.com/>) and used as a source of spectral data.

Analyse light spectra for visual and non-visual (often called
 melanopic) needs, wrapped up in a Shiny App. 'Spectran' allows for the import
 of spectra in various CSV forms but also provides a wide range of example
 spectra and even the creation of own spectral power distributions. The goal of
 the app is to provide easy access and a visual overview of the spectral
 calculations underlying common parameters used in the field. It is thus ideal
 for educational purposes or the creation of presentation ready graphs in
 lighting research and application. 'Spectran' uses equations and action spectra
 described in CIE S026 (2018) <doi:10.25039/S026.2018>, DIN/TS 5031-100 (2021)
 <doi:10.31030/3287213>, and ISO/CIE 23539 (2023)
 <doi:10.25039/IS0.CIE.23539.2023>.

Predict regional community composition at a fine spatial 
    resolution using only sparse biological and environmental data. The package 
    is based on the DynamicFOAM algorithm described 
    in Mokany et al. (2011) <doi:10.1111/j.1461-0248.2011.01675.x>.