catchments

<p>six different (three discrete, three continuous) measurements for
twenty fictitious river catchments, containing their dominant
lithology (categorical data), stratigraphic age (ordinal data),
number of springs (count data), the pH of the river water
(Cartesian quantity), its Ca/Mg ratio (Jeffreys quantity) and the
percentage covered by vegetation (proportion).</p>

data

A collection of datasets and simplified functions for an introductory (geo)statistics module at University College London. Provides functionality for compositional, directional and spatial data, including ternary diagrams, Wulff and Schmidt stereonets, and ordinary kriging interpolation. Implements logistic and (additive and centred) logratio transformations. Computes vector averages and concentration parameters for the von-Mises distribution. Includes a collection of natural and synthetic fractals, and a simulator for deterministic chaos using a magnetic pendulum example. The main purpose of these functions is pedagogical. Researchers can find more complete alternatives for these tools in other packages such as 'compositions', 'robCompositions', 'sp', 'gstat' and 'RFOC'. All the functions are written in plain R, with no compiled code and a minimal number of dependencies. Theoretical background and worked examples are available at <https://tinyurl.com/UCLgeostats/>.

catchments: properties of 20 river catchments

Description

Arguments

Examples