dixon2002 |
Dixon (2002) Nearest-neighbor contingency table analysis |
ecespa |
Functions for spatial point pattern analysis
|
fig1 |
Artificial point data. |
fig2 |
Artificial point data. |
fig3 |
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 and seedlings |
K012 |
Tests association/repulsion between a fixed point pattern and one (or two) "variable" point patterns |
K1K2 |
Differences between univariate and bivariate K-functions |
Kclust |
Fit the Poisson Cluster Point Process by Minimum Contrast |
Kmm |
Mark-weighted K-function |
Kmulti.uf |
Upton's and Fingleton's combined estimator of the marked K-function |
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 |
seedlings |
Cohorts of Helianthemum squamatum seedlings |
seedlings1 |
Cohorts of Helianthemum squamatum seedlings |
seedlings2 |
Cohorts of Helianthemum squamatum seedlings |
sim.poissonc |
Simulate Poisson Cluster Process |
swamp |
Tree Species in a Swamp Forest |