A collection of forecast verification routines developed for the SPECS
    FP7 project. The emphasis is on comparative verification of ensemble forecasts of weather and climate.

A tool for survival analysis using a discrete time approach with ensemble binary classification. 'spect' provides a
	simple interface consistent with commonly used R data analysis packages, such as 'caret', a variety of parameter options
	to help facilitate search automation, a high degree of transparency to the end-user - all intermediate data sets and
	parameters are made available for further analysis and useful, out-of-the-box visualizations of model performance. Methods
	for transforming survival data into discrete-time are adapted from the 'autosurv' package by Suresh et al., (2022)
	<doi:10.1186/s12874-022-01679-6>.

Stores and eases the manipulation of spectra and associated data,
    with dedicated classes for spatial and soil-related data.

Provides interface to the 'Spectator Earth' API <https://api.spectator.earth/>, 
    mainly for obtaining the acquisition plans and satellite overpasses for Sentinel-1, 
    Sentinel-2, Landsat-8 and Landsat-9 satellites. Current position and trajectory can 
    also be obtained for a much larger set of satellites. It is also possible to search 
    the archive for available images over the area of interest for a given (past) period, 
    get the URL links to download the whole image tiles, or alternatively to download the 
    image for just the area of interest based on selected spectral bands.

Provides a consistent interface to use various methods to calculate
  the periodogram and estimate the period of a rhythmic time-course. Methods
  include Lomb-Scargle, fast Fourier transform, and three versions of the
  chi-square periodogram. See Tackenberg and Hughey (2021)
  <doi:10.1371/journal.pcbi.1008567>.

Provides functions to combine, normalize and visualize spectral data, perform principal component analysis (PCA), and assemble customizable image grids suitable for publication-quality scientific figures.