amacrine

Austin Hughes' data: a point pattern 
of displaced amacrine cells in the retina of a rabbit.
A marked point pattern.

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 over 1000
        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. Exploratory methods include K-functions, nearest
        neighbour distance and empty space statistics, Fry plots, pair
        correlation function, kernel smoothed intensity, relative risk
        estimation with cross-validated bandwidth selection, mark
        correlation functions, segregation indices, mark dependence
        diagnostics etc. Point process models can be fitted to point
        pattern data using functions ppm, kppm, slrm similar to glm.
        Models may include dependence on covariates, interpoint
        interaction, cluster formation 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

amacrine function

An object of class <code>"ppp"</code>
 representing the point pattern of cell locations.
 Entries include
 <tabular>ll</tabular>{
 <code>x</code> 	Cartesian $x$-coordinate of cell <code>y</code> 	Cartesian $y$-coordinate of cell <code>marks</code> 	factor with levels <code>off</code> and <code>on</code> 	indicating ``off'' and ``on'' cells
 }
 See <code><a href="/link/ppp.object?package=spatstat&version=1.23-2" rd-options="" data-mini-rdoc="spatstat::ppp.object">ppp.object</a></code> for details of the format.

format

source

Austin Hughes' data: a point pattern 
of displaced amacrine cells in the retina of a rabbit.
152 ``on'' cells and 142 ``off'' cells in a rectangular sampling frame.The true dimensions of the rectangle are 1060 by 662 microns.
The coordinates here are scaled to a rectangle of height 1 and width
$1060/662 = 1.601$ so the unit of measurement is approximately 662 microns.The data were analysed by Diggle (1986).

amacrine: Hughes' Amacrine Cell Data

Description

Usage

Arguments

format

source

Notes

References