initialZoning: initialZoning zoning with no correction

In hazaeljones/geozoning: Zoning Methods for Spatial Data

Description

initialZoning zoning with no correction

Usage

initialZoning(qProb, map, pErr = 0.9, simplitol = 0.001, optiCrit = 2,
  disp = 0, GridData = F)

Arguments

qProb	probability vector used to generate quantile values
map	object returned by function genMap
pErr	equality tolerance for distance calculations
simplitol	tolerance for spatial polygons geometry simplification
optiCrit	criterion choice
disp	0: no info, 1: some info, 2: detailed info
GridData	logical value indicating if data are already on a regular grid (no kriging in that case)

Details

calculates a zoning on kriged map data, based on quantiles of data attribute values. These quantiles correspond the given probabilities. Contour lines define zones, they are projected on to the map boundary in order to close them if necessary. The distance matrices intra and inter zones are calculated as well as the quality criterion.

Value

a list with components

resCrit

criterion value

resDist

list with components matDistance, matDistanceCorr and cost, such as returned by a call to calDistance

resZ

list with components zoneN, zoneNModif, listZonePoint, meanTot, meanZone,listSurf, critSurf, zonePolygone, such as the object returned by calNei

Examples

data(mapTest)
ZK=initialZoning(qProb=c(0.4,0.7),mapTest)
plotZ(ZK$resZ$zonePolygone)

hazaeljones/geozoning documentation built on May 30, 2019, 3:06 p.m.