R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>. 
             'ONNX' provides an open source format for machine learning models. 
             It defines an extensible computation graph model, as well as definitions
             of built-in operators and standard data types.

Different measures which can be used to quantify similarities between regions. These measures are isonymy, isonymy between, Lasker distance, coefficients of Hedrick and Nei. In addition, it calculates biodiversity indices such as Margalef, Menhinick, Simpson, Shannon, Shannon-Wiener, Sheldon, Heip, Hill Numbers, Geometric Mean and Cressie and Read statistics.

Growing collection of helper functions for point pattern analysis. Most functions
  are designed to work with the 'spatstat' (<http://spatstat.org>) package. The focus of 
  most functions are either null models or summary functions for spatial point patterns. 
  For a detailed description of all null models and summary functions, see 
  Wiegand and Moloney (2014, ISBN:9781420082548).

Client for the 'Office of National Statistics'
    ('ONS') API <https://api.beta.ons.gov.uk/v1>.

Helps to create 'ggplot2' charts in the style used by the National 
    Road Safety Observatory (ONSV). The package includes functions to 
    customize 'ggplot2' objects with new theme and colors.

Wrapper functions for customizing HTML 
  tables from the 'gt' package to the ONSV style.

Tools for annotating characters (character matrices) with anatomical and phenotype ontologies. Includes functions for visualising character annotations and creating simple queries using ontological relationships.

Provides tools to build and work with an ontology of linked (open) 
    data in a tidy workflow. It is inspired by the Food and Agrilculture 
    Organizations (FAO) caliper platform 
    <https://www.fao.org/statistics/caliper/web/> and 
    makes use of the Simple Knowledge Organisation System (SKOS).

Functions for reading ontologies into R as lists and manipulating sets of ontological terms - 'ontologyX: A suite of R packages for working with ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.