meanL: meanL
In geozoning: Zoning Methods for Spatial Data

Description Usage Arguments Details Value Examples

meanL

1	meanL(zlab, listZonePoint, tabVal, surfVoronoi)

`zlab`	list with zone numbers for each zone label
`listZonePoint`	list of indices of data points within zones, result of call to `calNei`
`tabVal`	SpatialPointsDataFrame containing data values
`surfVoronoi`	Surfaces of the Voronoi polygons corresponding to data pts

compute overall mean of all zones for each label

a list with components

mL: vector of weighted (with Voronoi surfaces) per label average values
SL: vector of per label Voronoi surfaces

data(mapTest)
# run zoning with 2 quantiles corresponding to probability values 0.4 and 0.7,
# saving initial zoning and last level zonings
criti=correctionTree(c(0.4,0.7),mapTest,SAVE=TRUE)
K=criti$zk[[2]][[1]]
uni=unique(K$lab)
zlab=sapply(uni,function(x){(1:length(K$lab))[K$lab==x]})
resL=meanL(zlab,K$listZonePoint,mapTest$krigData,mapTest$krigSurfVoronoi)