Analysing spatial point patterns in R - CSIRO

232 INDEX
of inhomogeneous Poisson, 106
R, 18
contributed packages, 19
for spatial data formats, 45
for spatial statistics, 19
where to get, 18
random labelling, 179, 198
random perturbations, 58
random thinning, 95
randomisation tests, 179, 197
for marked point patterns, 197
rectangular windows, 33, 46
replicated point patterns, 221
residuals, 107, 173
for fitted Gibbs model, 173
for Poisson models, 107
lurking variable plot, 109
Q–Q plot, 174
smoothed residual field, 108
return value, 35
rpoispp, 88, 95
runifpoint, 89
sequential models, 142
shapefiles, 45
shapefiles package, 45
simulation
of fitted Gibbs model, 168
of fitted Poisson model, 104
smoothed residual field, 108
sp package, 45
spatstat, 20, 224
citing, 20, 224
getting started, 20
help files, 224
installing, 20
queries and requests, 224
updates, 224
website, 224
spherical contact distribution, 222
split, 28
standard model, 14
stochastic geometry, 222
Strauss process, 158
fitting to data, 163
multitype, 211
summary functions, 115
and Monte Carlo tests, 132
critique, 130
edge effects, 116
envelopes, 132
F, 117
for multitype point patterns, 190
G, 122
inference using, 132
inhomogeneous K, 149
J, 128
K, 125
L, 126
mark connection, 195
mark correlation, 202
model-fitting with, 144
pair correlation, 126
Switzer’s random set, 223
tess, 32
tests
χ 2 quadrat counting, 89
Kolmogorov-Smirnov, 91, 107
Monte Carlo, 132
thinning, 141
Thomas process, 140
three dimensional point pattern, 218
tips, 32, 36, 42, 56, 116, 119, 134, 181
treatment contrasts, 98
unitname, 43
units of length, 43
validation, 106, 171
windows, 46
binary mask, 33, 48
circular, 46
GIS formats, 49
needed in any point pattern, 54
operations on, 50
polygonal, 33, 47
rectangular, 33, 46
returned by functions, 49
χ 2 quadrat counting test, 89
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