locAdjFun: Function that modifies the observation locations, to reduce...

In MRG: Create Non-Confidential Multi-Resolution Grids

Function that modifies the observation locations, to reduce the risk that they are on grid cell boundaries

Description

Function that modifies the observation locations, to reduce the risk that they are on grid cell boundaries

Usage

locAdjFun(ifg, locAdj, ress)

Arguments

ifg	Either a data.frame or tibble or sf-object with the locations and the data of the survey or census data, or a list of such objects.
locAdj	parameter to adjust the coordinates if they are exactly on the borders between grid cells. The values can either be FALSE, or "jitter" (adding a small random value to the coordinates, essentially spreading them randomly around the real location), "UR", "UL", "LR" or "LL", to describe which corner of the grid cell the location belong (upper right, upper left, lower right or lower left).
ress	A vector with the different resolutions

Details

This can be used as a pre-processing step before creating a multi-resolution grid. The gridding procedure will have problems if the points are located exactly on grid cell boundaries. The locations should therefore be slightly modified, to better control to which grid cells they are associated. This can either be a systematic modification, or a random modification.

In the case of FSS data, the coordinates have been reported as the lower left corner of a 1 km grid.

Value

An sf-object with slightly modified locations for the survey or census data, according to the locAdj-parameter

Examples

data(ifs_dk)

ifg = fssgeo(ifs_dk, locAdj = FALSE)
ifg = locAdjFun(ifg, "LL")

MRG documentation built on Oct. 28, 2024, 5:07 p.m.