Social network analysis is becoming commonplace in many social 
    science disciplines, but access to useful network data, especially 
    among marginalized populations, still remains a formidable challenge. 
    This package mitigates that problem by providing tools to simulate spatial 
    Bernoulli networks as proposed in Carter T. Butts 
    (2002, ISBN:978-0-493-72676-2), "Spatial models of large-scale interpersonal            
    networks." Using this package, network analysts can simulate a spatial point 
    process or sequence with a given number of nodes inside a geographical 
    boundary and estimate the probability of a tie formation between all node 
    pairs. When simulating a network, an analyst can choose between five spatial
    interaction functions. The package also enables quick comparison of summary             
    statistics for simulated networks and provides simple to use plotting 
    methods for its classes that return plots which can be further refined with 
    the 'ggplot2' package.

Latent space models for multivariate networks (multiplex) estimated via MCMC algorithm. See D Angelo et al. (2018) <arXiv:1803.07166> and D Angelo et al. (2018) <arXiv:1807.03874>.

Standard RGB spaces included are sRGB, 'Adobe' RGB, 'ProPhoto' RGB, BT.709, and others.  User-defined RGB spaces are also possible.  There is partial support for ACES Color workflows.

Functions for converting among CIE XYZ, xyY, Lab, and Luv.
      Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci.  
      The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included.
      Three standard color difference metrics are included.

Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.