optiGrow: optiGrow grow an isolated zone by finding a bigger contour...
In geozoning: Zoning Methods for Spatial Data

Description Usage Arguments Details Value Examples

optiGrow grow an isolated zone by finding a bigger contour line

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optiGrow(K, iC, qProb, refPoint, map, optiCrit = 2, minSize = 0.012,
  minSizeNG = 0.001, distIsoZ = 0.075, LEQ = 5, MAXP = 0.1,
  simplitol = 1e-12, disp = 0)

`K`	zoning object (such as returned by calNei function)
`iC`	index of zone to grow
`qProb`	probability vector used to generate quantile values
`refPoint`	xxxx
`map`	object returned by genMap function
`optiCrit`	criterion choice
`minSize`	zone area threshold under which a zone is too small to be manageable
`minSizeNG`	zone area threshold under which a zone will be removed
`distIsoZ`	threshold distance to next zone, above which a zone is considered to be isolated
`LEQ`	length of quantile sequence used to grow zone
`MAXP`	quantile sequence maximum shift
`simplitol`	tolerance for spatial polygons geometry simplification
`disp`	0: no info, 1: detailed info

Grow an isolated zone by finding a bigger contour line around it. A series of quantiles are tried out. The quantile sequence is generated by genQseq, and depends on LEQ and MAXP parameters. The zone is grown as much as possible, while keeping it isolated from other zones. A zone is isolated if its smaller distance to another zone is smaller than distIsoZ.

a list with components

crit: criterion value of the new zoning
area: area of the grown zone
Zopti: new zoning geometry (list of SpatialPolygons)
qM: quantile corresponding to new zone

data(mapTest)
qProb=c(0.3,0.5)
criti = correctionTree(qProb,mapTest)
best = criti$zk[[2]][[1]]
Z=best$zonePolygone
plotZ(Z)
refPoint = rgeos::gCentroid(Z[[4]])
sp::plot(refPoint,add=TRUE,col="blue",pch=21)
zg=optiGrow(best,4,qProb,refPoint,mapTest) #grow zone 4
id=as.numeric(getZoneId(Z[[4]]))
linesSp(zg$Zopti[[id]],col="blue") # new zoning with grown zone 4