spCovDel: Optimize the network with spatial coverage methods

Description Usage Arguments Details Value Author(s)

View source: R/spCovDel.R

Description

The function spCovDel allows to build optimization scenarios based on spatial coverage method.

Usage

1
spCovDel(observations, candidates, nDiff, plotOptim = TRUE, ...)

Arguments

observations

object of class data.frame with x,y coordinates

candidates

not compulsory used only for plotting purpose – a SpatialPolygonsDataFrame describing the study area

nDiff

number of stations to add or delete

plotOptim

logical; to plot the result or not

...

other arguments to be passed on at lower level functions such as nndist

Details

This function allows to build optimization scenarios based on spatial coverage method. When action is "del", the function maximizes the mean distance of measurements with direct neighbours using function nndist. The heuristic search uses a swapping algorithm to converge more rapidly to the best solution.

Value

data.frame of optimized locations

Author(s)

Olivier Baume


intamapInteractive documentation built on Feb. 8, 2021, 5:06 p.m.