spCovDel: Optimize the network with spatial coverage methods
In jskoien/intamapInteractive: Interactive Add-on Functionality for 'intamap'

Description Usage Arguments Details Value Author(s)

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

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

`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`

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 from spatstat-package. The heuristic search uses a swapping algorithm to converge more rapidly to the best solution.

data.frame of optimized locations

Olivier Baume

jskoien/intamapInteractive documentation built on May 20, 2019, 2:09 a.m.