Analysing spatial point patterns in R - CSIRO

192 Exploratory tools for multitype point patterns
array of G functions for amacrine.
off
on
Gcrossoff, off(r)
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Gcrossoff, on(r)
0.0 0.2 0.4 0.6 0.8
0.00 0.01 0.02 0.03 0.04 0.05 0.06
r (one unit = 662 microns)
0.00 0.01 0.02 0.03 0.04 0.05 0.06
r (one unit = 662 microns)
on
Gcrosson, off(r)
0.0 0.2 0.4 0.6 0.8
Gcrosson, on(r)
0.0 0.2 0.4 0.6
off
0.00 0.01 0.02 0.03 0.04 0.05 0.06
r (one unit = 662 microns)
0.00 0.01 0.02 0.03 0.04 0.05 0.06
r (one unit = 662 microns)
For example the top right panel shows the cumulative distribution function of the distance
from an “off” cell to the nearest “on” cell.
The result of alltypes is a ‘function array’ (object of class "fasp") which can be indexed
by row and column subscripts. If the point pattern has a large number of possible types, you
can compute the array of all possible pairwise G functions, then use the subscript operator to
inspect a subset of the array.
> data(lansing)
> a plot(a[2:3, 2:3])
CopyrightCSIRO 2010