The modern database 'TileDB' introduces a powerful on-disk
  format for storing and accessing any complex data based on multi-dimensional
  arrays. It supports dense and sparse arrays, dataframes and key-values stores,
  cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression,
  encryption and checksum filters, uses a fully multi-threaded implementation,
  supports parallel I/O, data versioning ('time travel'), metadata and groups.
  It is implemented as an embeddable cross-platform C++ library with APIs from
  several languages, and integrations. This package provides the R support.

R spatial objects for Tilegrams.
  Tilegrams are tiled maps where the region size is proportional to
  the certain characteristics of the dataset.

Implements an algorithm for generating maps, known as tile maps,
    in which each region is represented by a single tile of the same shape and
    size. The algorithm was first proposed in "Generating Tile Maps" by Graham
    McNeill and Scott Hale (2017) <doi:10.1111/cgf.13200>. Functions allow
    users to generate, plot, and compare square or hexagon tile maps.

Creates geographic map tiles from geospatial map files or 
    non-geographic map tiles from simple image files. This package provides a 
    tile generator function for creating map tile sets for use with packages 
    such as 'leaflet'. In addition to generating map tiles based on a common 
    raster layer source, it also handles the non-geographic edge case, producing 
    map tiles from arbitrary images. These map tiles, which have a 
    non-geographic, simple coordinate reference system (CRS), can also be used 
    with 'leaflet' when applying the simple CRS option. Map tiles can be created 
    from an input file with any of the following extensions: tif, grd and nc for 
    spatial maps and png, jpg and bmp for basic images. This package requires 
    'Python' and the 'gdal' library for 'Python'. 'Windows' users are 
    recommended to install 'OSGeo4W' (<https://trac.osgeo.org/osgeo4w/>) as an 
    easy way to obtain the required 'gdal' support for 'Python'.