shapley

shapley.extra

A point pattern recording the sky positions of 4215 galaxies
  in the Shapley Supercluster.

datasets

spatial

A package for analysing spatial data, mainly Spatial Point
        Patterns, including multitype/marked points and spatial
        covariates, in any two-dimensional spatial region. Also
        supports three-dimensional point patterns, and space-time point
        patterns in any number of dimensions. Contains functions for
        plotting spatial data, exploratory data analysis,
        model-fitting, simulation, spatial sampling, model diagnostics,
        and formal inference. Data types include point patterns, line
        segment patterns, spatial windows, pixel images and
        tessellations. Point process models can be fitted to point
        pattern data. Cluster type models are fitted by the method of
        minimum contrast. Very general Gibbs point process models can
        be fitted to point pattern data using a function ppm similar to
        lm or glm. Models may include dependence on covariates,
        interpoint interaction and dependence on marks. Fitted models
        can be simulated automatically. Also provides facilities for
        formal inference (such as chi-squared tests) and model
        diagnostics (including simulation envelopes, residuals,
        residual plots and Q-Q plots).

Adrian Baddeley

spatstat

Spatial Point Pattern analysis, model-fitting, simulation, tests

shapley function

<code>shapley</code> is an object of class <code>"ppp"</code>
  representing the point pattern of galaxy locations
  (see <code><a href="/link/ppp.object?package=spatstat&version=1.20-2" rd-options="" data-mini-rdoc="spatstat::ppp.object">ppp.object</a></code>).<p></p><p>  <code>shapley.extra</code> is a list containing additional data
  described under Notes.</p>

format

M.J. Drinkwater, Department of Physics, University of
  Queensland

shapley: Galaxies in the Shapley Supercluster

Description

Usage

Arguments

format

source

References

Examples