| mygest(InhomCluster) | R Documentation |
Kernel estimation of g function for data on a rectangular observation window
mygest=function(data,lambda,maxt,bw,adaptive=T,kerneltype=1)
data |
a spatstat ppp point pattern object |
lambda |
vector containing intensity for each point in data |
maxt |
maximal distance t for which g(t) is estimated |
bw |
band width for kernel estimation |
adaptive |
if true, Snethlage (2001)'s adaptive estimate is used |
kerneltype |
if 1, the uniform kernel is used, if 2, the Epanecnikov kernel is used |
This function computes a kernel estimate of the g-function using the translation invariant edge correction (Ohser, 1983). The procedure only works for point patterns observed within a rectangular observation window.
A list with two components t and g where t is the
distances for which the g-function is estimated and g is the estimate.
Rasmus Waagepetersen rw@math.aau.dk http://www.math.aau.dk/~rw
Snethlage, M. (2001) Ueber die statistische Analyse von Clusterpunktprozessen durch die Paarkorrelationsfunktion, Ph.D.-thesis, Technische Universitaet Freiberg.
Ohser, J. (1983) On estimators for the reduced second moment measure of point processes. _Mathematische Operationsforschung und Statistik, series Statistics_, *14*, 63 - 71.