calCritMinMean: calCritMinMean
In geozoning: Zoning Methods for Spatial Data
Description
Usage
Arguments
Details
Value
Examples
Description
calCritMinMean
Usage
1
calCritMinMean(matDistance, zoneNModif)
Arguments
matDistance
zone distance matrix resulting from a call to calDistance
zoneNModif
matrix of zone neigbors with FALSE on the diagonal
Details
computes a quality criterion equal to min(mean(dij^2/sqrt(dii^2*djj^2)))
see also calCrit1, calCrit2, calCrit3, calCrit4, calCrit5 for other criteria
Value
a numerical value
Examples
1
2
3
4
5
6
data(mapTest)
data(resZTest)
K=resZTest
resD = calDistance(typedist=1,mapTest$krigData,K$listZonePoint,K$zoneN,
mapTest$krigSurfVoronoi,K$meanZone,pErr=0.9)
calCritMinMean(resD$matDistanceCorr,K$zoneNModif)
geozoning documentation built on May 2, 2019, 9:43 a.m.
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Description Usage Arguments Details Value Examples
Description
calCritMinMean
Usage
1 | calCritMinMean(matDistance, zoneNModif)
|
Arguments
matDistance |
zone distance matrix resulting from a call to calDistance |
zoneNModif |
matrix of zone neigbors with FALSE on the diagonal |
Details
computes a quality criterion equal to min(mean(dij^2/sqrt(dii^2*djj^2)))
see also calCrit1, calCrit2, calCrit3, calCrit4, calCrit5 for other criteria
Value
a numerical value
Examples
1 2 3 4 5 6 | data(mapTest)
data(resZTest)
K=resZTest
resD = calDistance(typedist=1,mapTest$krigData,K$listZonePoint,K$zoneN,
mapTest$krigSurfVoronoi,K$meanZone,pErr=0.9)
calCritMinMean(resD$matDistanceCorr,K$zoneNModif)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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