gordon

This dataset records the location of
 people sitting on a grass patch in Gordon Square, London,
 at 3pm on a sunny afternoon. The dataset <code>gordon</code> is a point pattern
 (object of class <code>"ppp"</code>) containing the spatial coordinates
 of each person. The grass patch is an irregular polygon with two holes.
 
 Coordinates are given in metres.

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).

gordon: People in Gordon Square

Description

Usage

Arguments

source

References

Examples