distanceNormalisationSum: distanceNormalisationSum
In geozoning: Zoning Methods for Spatial Data
Description
Usage
Arguments
Details
Value
Examples
Description
distanceNormalisationSum
Usage
1
distanceNormalisationSum(matDistance)
Arguments
matDistance
distance matrix as returned by a call to calDistance
Details
normalize all MIJ terms of the distance matrix by dividing it by sum of squared diagonal terms sum(MII^2+MJJ^2)
Value
a normalized distance matrix
Examples
1
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3
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5
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7
8
# load test map with simulated data
data(mapTest)
# load zoning results from test file
data(resZTest)
K=resZTest
resD = calDistance(typedist=1,mapTest$krigData,K$listZonePoint,K$zoneN,
mapTest$krigSurfVoronoi,K$meanZone,pErr=0.9)
geozoning:::distanceNormalisationSqrt(resD$matDistanceCorr)
geozoning documentation built on May 2, 2019, 9:43 a.m.
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Description Usage Arguments Details Value Examples
Description
distanceNormalisationSum
Usage
1 | distanceNormalisationSum(matDistance)
|
Arguments
matDistance |
distance matrix as returned by a call to calDistance |
Details
normalize all MIJ terms of the distance matrix by dividing it by sum of squared diagonal terms sum(MII^2+MJJ^2)
Value
a normalized distance matrix
Examples
1 2 3 4 5 6 7 8 | # load test map with simulated data
data(mapTest)
# load zoning results from test file
data(resZTest)
K=resZTest
resD = calDistance(typedist=1,mapTest$krigData,K$listZonePoint,K$zoneN,
mapTest$krigSurfVoronoi,K$meanZone,pErr=0.9)
geozoning:::distanceNormalisationSqrt(resD$matDistanceCorr)
|
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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