Easily create functions to map between different sets of values,
  such as for re-labeling categorical variables.

Create simple maps; add sub-plots like pie plots to a map or any other plot; format, plot and export gridded data. The package was developed for displaying fisheries data but most functions can be used for more generic data visualisation.

Constructs genetic linkage maps in autopolyploid full-sib populations. 
             Uses pairwise recombination fraction estimation as the first 
             source of information to sequentially position allelic variants 
             in specific homologous chromosomes. For situations where pairwise 
             analysis has limited power, the algorithm relies on the multilocus 
             likelihood obtained through a hidden Markov model (HMM). 
             Methods are described in Mollinari and Garcia (2019) 
             <doi:10.1534/g3.119.400378> and Mollinari et al. (2020) 
             <doi:10.1534/g3.119.400620>.

Provides one function, which is a wrapper around purrr::map() with some extras on top, including parallel computation, progress bars, error handling, and result caching.

Converts latitude/longitude into projected coordinates.

Display of maps.  Projection code and larger maps are in
             separate packages ('mapproj' and 'mapdata').

Interface to the 'Google Maps' APIs: (1) routing directions based on the 'Directions' API, returned as 'sf' objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the 'Distance Matrix' API; (3) geocoded locations based on the 'Geocode' API, returned as 'sf' objects, either points or bounds; (4) map images using the 'Maps Static' API, returned as 'stars' objects.

Enables preparation of maps to be printed and drawn on.
    Modified maps can then be scanned back in, and hand-drawn marks
    converted to spatial objects.

The administrative boundaries of Senegal are provided at several
    levels, including regions, departments, arrondissements and communes.
    The Global Administrative Areas database, or `GADM` <https://gadm.org/>, is
    the primary source for these layers. The dataset is complemented by the
    incorporation of additional geographic layers, such as localities,
    universities, roads, or health facility locations.