calDistance: calDistance
In geozoning: Zoning Methods for Spatial Data

Description Usage Arguments Details Value Examples

calDistance

1 2	calDistance(typedist = 1, tabVal = NULL, listZonePoint = NULL, zoneN = NULL, surfVoronoi = NULL, meanZone = NULL, pErr = 0.9)

`typedist`	default value is 1, other values not implemented yet.
`tabVal`	SpatialPointsDataFrame, contains data points to be used for zoning (spatial coordinates plus attribute values) result of call to `genMap`
`listZonePoint`	list of indices of data points within zones, result of call to `calNei`
`zoneN`	zone neighborhood matrix (TRUE values on diagonal), result of call to `calNei`
`surfVoronoi`	vector of Voronoi polygon surfaces corresponding to all data points,result of call to `genMap`
`meanZone`	vector of average attribute values for all zones
`pErr`	error percentage for correcting distances

calculates matrix of heterogeneities between neighbour zones. max(sigmai2[i],(fxmean*pErr/100)^2) + max(sigmai2[j],(fymean*pErr/100)^2) + (fxmean-fymean)^2

a list with components

matDistance: matrix of real values, corresponding to heterogeneities between neighbour zones. All other values are set to 0.
matDistanceCorr: corrected distance matrix using pErr
cost: sum or errors obtained by replacing all data values within a zone by the zone mean value

# 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)