00ecespa | Functions for spatial point pattern analysis in ecology |
dixon2002 | Dixon (2002) Nearest-neighbor contingency table analysis |
fig1 | Artificial point data. |
getis | Neighbourhood density function |
gypsophylous | Spatial point pattern of a plant community |
haz.ppp | Easily convert xy data to ppp format |
Helianthemum | Spatial point pattern of Helianthemum squamatum adult plants... |
internal | Internal ecespa functions. |
ipc.estK | Fit the (In)homogeneous Poisson Cluster Point Process by... |
K012 | Tests against 'independent labelling' |
K1K2 | Differences between univariate and bivariate K-functions |
Kci | Test against non-Poisson (in-)homogeneous models |
Kinhom.log | Simulation envelopes from the fitted values of a logistic... |
Kmm | Mark-weighted K-function |
Kmulti.ls | Lotwick's and Silverman's combined estimator of the marked... |
LF.gof | Loosmore and Ford Goodness of Fit Test |
marksum | Mark-sum measure |
p2colasr | P-value for a discrete distribution on small sample data |
pc.estK | Fit the Poisson Cluster Point Process by Minimum Contrast |
quercusvm | Alive and dead oak trees |
rIPCP | Simulate Inhomogeneous Poisson Cluster Process |
seedlings | Cohorts of Helianthemum squamatum seedlings |
sim.poissonc | Simulate Poisson Cluster Process |
swamp | Tree Species in a Swamp Forest |
syrjala | Syrjala's test for the difference between the spatial... |
syrjala.data | Syrjala test data |
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