randKmapGrid: randKmapGrid

In geozoning: Zoning Methods for Spatial Data

Description

randKmapGrid

Usage

randKmapGrid(DataObj, nSimuCond = 0, boundary = list(x = c(0, 0, 1, 1, 0), y
  = c(0, 1, 1, 0, 0)), manualBoundary = FALSE, disp = 0, FULL = FALSE)

Arguments

DataObj	=NULL: simulated data with seed or = a data frame with real data
nSimuCond	numeric
boundary	list contains x and y
manualBoundary	logical, default FALSE
disp	numeric
FULL	logical, if TRUE the returned list is complete

Details

Prepare real data for zoning, data are already on a regular grid, hence no kriging is done.

Value

a list

rawData

simulated or real raw data within the boundary

step

grid step

krigData

kriged data

krigGrid

kriged data in form of grid

krigN

kriged neighbours of each data point

krigSurfVoronoi

areas of Voronoi polygons in the tesselation of kriged data

modelGen

random fields model

VGMmodel

vgm model

boundary

(x,y) list of boundary points

Examples

data(dataReg) #regular data on a square grid between 0 and 1
map = randKmapGrid(dataReg)
plotMap(map)

geozoning documentation built on May 2, 2019, 9:43 a.m.