geostats

_PACKAGE

geostats-package

A list of documented functions may be viewed by typing
 <code><a href="/link/help(package%3D%27geostats%27)?package=geostats&version=1.6" data-mini-rdoc="geostats::help(package='geostats')">help(package='geostats')</a></code>. Detailed instructions are
 provided at <a href="https://github.com/pvermees/geostats/">https://github.com/pvermees/geostats/</a>.

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/>.

Pieter Vermeesch

An Introduction to Statistics for Geoscientists

geostats function

Maintainer: Pieter Vermeesch <a href="/link/p.vermeesch%40ucl.ac.uk?package=geostats&version=1.6" data-mini-rdoc="geostats::p.vermeesch@ucl.ac.uk">p.vermeesch@ucl.ac.uk</a>

Author

A list of documented functions may be viewed by typing
 <code><a href='https://rdrr.io/pkg/geostats/man'>help(package='geostats')</a></code>. Detailed instructions are
 provided at <a href='https://github.com/pvermees/geostats/'>https://github.com/pvermees/geostats/</a>.

library(geostats) — geostats

Maintainer: Pieter Vermeesch <a href='mailto:p.vermeesch@ucl.ac.uk'>p.vermeesch@ucl.ac.uk</a>

State of Data and AI Literacy Report 2025

geostats: library(geostats)

Description

Arguments

Author

See Also