calCrit: calCrit
In geozoning: Zoning Methods for Spatial Data

Description Usage Arguments Details Value Examples

calCrit

1	calCrit(matDistanceCorr, zoneNModif, optiCrit = 2)

matDistanceCorr

corrected distance matrix between zones, result of call to calDistance

zoneNModif

modified zone neighborhood matrix (FALSE values on diagonal), result of call to calNei

optiCrit

criterion to be optimized. Possible values are :

1: min(mean(dij^2/(dii^2+dij^2)))
2: min(2*min(dij/(dii+djj)))
3: min(2*min(dij/(dii+djj)))
4: min(min(dij^2/sqrt(dii^2*djj^2)))
5: min(median(dij^2/sqrt(dii^2*djj^2)))
7: mean(2*mean(dij/(dii+djj)))

wrapper function that redirects to the proper criterion calculation function according to optiCrit arg value

the criterion value as a real positive number indicating the zoning quality.

# compute criterion on test zoning included in package
# 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$meanZone,pErr=0.9)
crit = calCrit(resD$matDistanceCorr,K$zoneNModif,2)
print(crit)