getinterp: getinterp function
In bentaylor1/lgcp: Log-Gaussian Cox Process

A function to get the interpolation methods from a data frame

1	getinterp(df)

`df`	a data frame

The three types of interpolation method employed in the package lgcp are:

'Majority' The interpolated value corresponds to the value of the covariate occupying the largest area of the computational cell.
'ArealWeightedMean' The interpolated value corresponds to the mean of all covariate values contributing to the computational cell weighted by their respective areas.
'ArealWeightedSum' The interpolated value is the sum of all contributing covariates weighed by the proportion of area with respect to the covariate polygons. For example, suppose region A has the same area as a computational grid cell and has 500 inhabitants. If that region occupies half of a computational grid cell, then this interpolation type assigns 250 inhabitants from A to the computational grid cell.

the interpolation methods

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.