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GSTAT USER'S MANUAL
Edzer J. Pebesma
you can download the PostScript (
a4
or
paper
) version of this manual
or the complete
html
tree of the online manual
Contents
Introduction
Further reading
gstat-announce mailing list
Getting started
Invoking gstat
Data formats
Default program action
Modelling spatial dependence
Non-interactive variogram modelling
Variogram maps
Prediction
Local Neighbourhoods
Simulation
Gaussian block simulation
Indicator simulation
Linear models in gstat
Defining a model
Coordinate polynomial base functions
User-defined base functions
Ordinary and weighted least squares trend prediction
Generalised least squares trend prediction
Residual variograms
Prediction modes and change of support
Modes
Multiple mode
Multivariable mode
Stratified mode
Change of support (block prediction)
Command file syntax
Commands
General options
Variogram modelling options
Prediction or simulation options
`
data
'
General options
Variogram modelling options
Prediction or simulation options
`
variogram
'
Geometric anisotropy
Zonal anisotropy
`
set
'
General options
Variogram modelling options
Prediction or simulation options
`
method
'
Further control
Start-up
Command line options
Random number generators
Special file names
Execute (
-e
) actions
Compiling and installing gstat
Example command files
Example 1. Variogram modelling
Example 2. Variogram modelling of two variables
Example 3. Inverse distance interpolation
Example 4. Ordinary block kriging
Example 5. Simple kriging on a mask map
Example 6. Unconditional simulation
Example 7. Conditional simulation
Example 8. Ordinary block kriging on a mask map
Example 9. Map values at point locations
Example 10. Multiple kriging
Example 11. Multivariable kriging (cokriging)
Example 12. Stratified ordinary kriging
Example 13. Universal kriging (a)
Example 14. Universal kriging (b)
Example 14a. Stratified universal kriging
Example 15. Linear model prediction (OLS)
Example 16. Multivariable (cumulative) indicator simulation
Example 17. Trend surface prediction
Equations
Spatial dependence
Sample variogram and covariogram
Estimation of variogram model parameters
Prediction equations
Simple kriging
Multivariable prediction
Uncorrelated least squares prediction
Kriging data with known measurement errors
Change of support: details
Rectangular blocks
Non-rectangular blocks
Base functions block averages
Latin hypercube sampling
Using polylines with gstat
Implementation aspects
Formats available for input
New keywords
Using
point-in-polygon
test
Using polylines with interpolation
Distance calculation with boundaries
Trouble shooting
Error messages
Strange results
Very strange values
Negative cokriging prediction variances
Unrecognised IC or LMC
Simulation speed
The value of zero
Debug information
Plotting kriging weights
Grid map and data formats
PCRaster maps
Idrisi data and maps
ArcInfo/Arcview grid maps
asciigrid
floatgrid
ER-Mapper maps
GMT grid maps
Surfer grid maps
Copyright
Bibliography
Index
About this document ...
Edzer Pebesma
1999-08-31
