geozoning (version 1.0.0)

meanL: meanL

Description

meanL

Usage

meanL(zlab, listZonePoint, tabVal, surfVoronoi)

Arguments

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

Value

a list with components

mL

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

SL

vector of per label Voronoi surfaces

Details

compute overall mean of all zones for each label

Examples

# NOT RUN {
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)
# }