Fit Point Process Model to Point Pattern on Linear Network
Fit a point process model to a point pattern dataset on a linear network
- Object of class
"lpp"specifying a point pattern on a linear network.
- Arguments passed to
This function fits a point process model to data that specify
a point pattern on a linear network. It is a counterpart of
the model-fitting function
to work with objects of class
"lpp" instead of
X should be an object of class
(created by the command
lpp) specifying a point pattern
on a linear network.
The subsequent arguments
... will be passed to
ppm. They specify the form of the model.
- An object of class
"lppm"representing the fitted model. There are methods for
coefand similar functions.
Ang, Q.W. (2010) Statistical methodology for events on a network. Master's thesis, School of Mathematics and Statistics, University of Western Australia. Ang, Q.W., Baddeley, A. and Nair, G. (2012) Geometrically corrected second-order analysis of events on a linear network, with applications to ecology and criminology. To appear in Scandinavian Journal of Statistics.
McSwiggan, G., Nair, M.G. and Baddeley, A. (2012) Fitting Poisson point process models to events on a linear network. Manuscript in preparation.
example(lpp) lppm(X, ~1) lppm(X, ~x)