Index

alpha

anisotropy

geometric: Geometric anisotropy
zonal: Zonal anisotropy

arc-info

area

Defining a model | Coordinate polynomial base functions

asciigrid

average

awk

b

base functions

arbitrary: User-defined base functions
at mask map locations: Prediction or simulation options
coordinate polynomials: Coordinate polynomial base functions

beta

block discretization

Change of support (block

block discretization, nblockdiscr

blocksize

specifying: Change of support (block

bounds

Category

category indicator transform

change of support

Change of support (block

cn_max

Compiling and installing gstat

command file

comment: Commands

command file syntax

Command file syntax

command files

Invoking gstat

command line options

Command line options

configure

convert

covariance

covariances

covariogram

sample

equations: Sample variogram and covariogram
non-interactive: Non-interactive variogram modelling

symmetric or asymmetric

cover

Cressie

cross validation, xvalid

cutoff

d

data

averaging coinciding points

base functions

known coefficients: General options
omit intercept: General options

base functions, X

category indicator transform

data weights, V

dummy

empty variable, dummy

indicator-transform

known regression coefficients

log-transform

measurement error, V

missing value

neigbourhood

see neighbourhood

standardise

strata column, s

trend order, d

x-coordinate

y-coordinate

z-coordinate

data format

debug

default program action

Default program action

directional variogram

see alpha, beta, tol_hor, tol_ver

distance

distance to prediction locations

div

dots

dummy

dX

edges

estimates

example command files

Example command files

external drift

Defining a model

fit

fit_limit

floatgrid

force

format

fraction

Gaussian simulation, gs

Generalised least squares trend

generalised least squares

gls

Modelling spatial dependence | Variogram modelling options

gnuplot

output device, gpterm: Variogram modelling options

gnuplot35

gpterm

grid map format

gridded prediction locations

gs

height of mask map

I

identifiers

Commands

idp

idrisi

indicator simulation

Indicator simulation

categorical: Indicator simulation
cumulative: Indicator simulation
independent: Indicator simulation
order relation violations: Indicator simulation

indicator transform

installing

gnuplot: Compiling and installing gstat
gstat: Compiling and installing gstat

interactive variogram modelling

intervals

inverse distance power, idp

inverse distance weighted interpolation

invoking gstat

Invoking gstat

is

iter

kriging

at mask map locations: Prediction or simulation options
block: Change of support (block
equations: Prediction equations
local: Local Neighbourhoods
simple kriging mean, sk_mean: Prediction or simulation options
universal: Defining a model

kriging, ordinary

kriging, simple

Prediction | Prediction

library

csf: Compiling and installing gstat
gd: Compiling and installing gstat
meschach: Compiling and installing gstat

linear model

independent residuals: Ordinary and weighted least

linear models

Linear models in gstat

local diversity, div

local neighbourhood

Local Neighbourhoods

local quantile estimation

log

log-transform data

logfile

map

map format

map values at data locations

map2gif

mask

max

measurements, see data

`data'

med

merge

Compiling and installing gstat

meschach matrix library

method

min

missing value

number, mv: General options
string, set mv: General options

multiple realisations

mv

nblockdiscr

neighbourhood

force minimum size: Prediction or simulation options
max nr observations: Prediction or simulation options
min nr observations: Prediction or simulation options
octant search: Prediction or simulation options
quadrant search: Prediction or simulation options
radius: Prediction or simulation options
selection: Local Neighbourhoods
size as prediction value nr: `method'
square: Prediction or simulation options
variogram distance, vdist: Prediction or simulation options

nominal

noresidual

nr

nsim

n_uk

observations, see data

`data'

omax

order

Ordinary and weighted least

ordinary least squares

output

output file name

pager

pcraster

pipes

Special file names

plot

point-in-polygon

prediction

at mask map locations: Prediction or simulation options
common parameters: Prediction or simulation options
equations: Prediction equations
local: Local Neighbourhoods
method: `method'
modes: Prediction modes and change
multiple: Multiple mode
multivariable: Multivariable mode
non-gridded, data(): Prediction or simulation options
output maps: Prediction or simulation options
stratified: Stratified mode

predictions

program action, default

Default program action

quantile

quantile estimation

radius

random number seed, useed

random number generators

Random number generators

random path, rp

residuals, generalised least squares

robust variogram estimator, Cressie

rp

s

sample covariogram

sample variogram

save variogram plot

secure

seed

semivariance

semivariogram

set

set parameter = value

`set'

simple kriging mean, sk_mean

simulation

Simulation

at mask map locations: Prediction or simulation options
block: Change of support (block
block averages: Gaussian block simulation
Gaussian, gs: `method'
indicator: Indicator simulation
indicator, is: `method'
local neighbourhood: Simulation
multiple: Multiple mode
multiple realisations: Prediction or simulation options
multivariable: Multivariable mode
non-gridded, data(): Prediction or simulation options
number of realizations: Simulation
random path: Simulation
sequential: Simulation
stratified: Stratified mode
variogram reproduction: Simulation
varying mean: Simulation

sk_mean

sparse

special file names

Special file names

square

standard

standardise data variable

start up files

Start-up

statistics

support, change of

Change of support (block

sym

temporary files

Special file names

tol_hor

tol_ver

trend

Linear models in gstat | `method'

arbitrary base functions: User-defined base functions
constant: Defining a model
coordinate polynomials: Coordinate polynomial base functions
estimation: `method'
generalised least squares: Generalised least squares trend
order, d: General options
ordinary least squares: Ordinary and weighted least
varying: Defining a model
weighted least squares: Ordinary and weighted least

universal kriging

Defining a model

useed

V

General options | General options

variances

variogram

cressie's robust estimator

cutoff, max. distance

directional

see directional

geometric anisotropy

Geometric anisotropy

interval width

maps

Variogram maps

max distance, intervals

modelling

fit method: Variogram modelling options
iterations in fitting: Variogram modelling options

models

table: `variogram' | `variogram'

near replicates, dX

number of intervals, intervals

OLS/WLS/GLS residual

Residual variograms

pooled, dX

residual

sample

equations: Sample variogram and covariogram
irregular interval bounds: Variogram modelling options
non-interactive: Non-interactive variogram modelling

save plot as

symmetric or asymmetric

zonal anisotropy

Zonal anisotropy

variogram modelling

vdist

Ordinary and weighted least

weighted least squares

width

X

General options | General options

xvalid

y

z

zero

zero_dist

zmap