Helps the user to build and register schema descriptions of 
    disorganised (messy) tables. Disorganised tables are tables that are 
    not in a topologically coherent form, where packages such as 'tidyr' could 
    be used for reshaping. The schema description documents the arrangement of 
    input tables and is used to reshape them into a standardised (tidy) output 
    format.

An easy way to examine archaeological count data. This
    package provides several tests and measures of diversity:
    heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.),
    richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and
    similarity (Brainerd-Robinson, etc.). It allows to easily visualize
    count data and statistical thresholds: rank vs abundance plots,
    heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.

Bindings for the 'Tabula' <https://tabula.technology/> 'Java'
    library, which can extract tables from PDF files. This tool can reduce time
    and effort in data extraction processes in fields like investigative
    journalism. It allows for automatic and manual table extraction, the latter
    facilitated through a 'Shiny' interface, enabling manual areas selection\
    with a computer mouse for data retrieval.

Facilities to work with vector and raster data in efficient 
 repeatable and systematic work flow. Missing functionality in existing packages 
 is included here to allow extraction from raster data with 'simple features' and 
 'Spatial' types and to make extraction consistent and straightforward. Extract cell 
 numbers from raster data and  return the cells as a data frame 
 rather than as lists of matrices or vectors. The functions here allow spatial data 
 to be used without special handling for the format currently in use.

The 'tabularmap' is one of the visualization methods for 
    efficiently displaying data consisting of multiple elements by tiling them.
    When dealing with geospatial, it corrects for differences in visibility 
    between areas.