DSpat (version 0.1.0)

integrate.intensity: Integrated intensity of fitted model

Description

Compute intensity and its integration (abundance) and measures of precision with and without over-dispersion correction

Usage

integrate.intensity(x, dimyx=NULL, eps=NULL, se=FALSE, od=FALSE,
                    reps=100, silent=FALSE, J.inv=NULL, showplot=TRUE)

Value

AbundanceEstimate of expected abundance in the study areadistributiondataframe containing N (predicted number of points in the cell),x,y (x,y coordinates of cell) and covariates used in the modelprecisionList containing se, lcl.95, ucl.95, J.inv, and b.vecprecision.odFor over-dispersion estimate a list containing se, lcl.95, ucl.95, J.inv, and b.veclambdaestimated intensity imageWwindow mask for study area

Details

Either dimyx or eps can be specified. If neither specified then it uses the first covariate image in the dspat object to set the intensity grid. If more than one are specified then others are ignored with their priority for use matching the order they are listed above.

See Also

lgcp.correction