- Exploratory data analysis
**Basic aspects of the spatial exploratory data analysis**:**Reading data and exploratory analysis**: a tutorial on first steps of the data analysis.- Simulating geostatistical data
**Simulating from the geostatistical model:**simulations using the function`grf`illustrating different aspects of the geostatistical model.**Animated 2D simulations:**(be patient! this may take a while to load in your browser)**Simulating from the generalised linear geostatistical model**.- Illustrating geostatistical calculations step by step
**Example on the simple kriging algorithm**.**Example of some geostatistical calculations**.**Constructing a covariate and obtaining the confidence interval for the coeficcient**.**Kriging with covariates**: example on how to construct a covariate on the prediction points to be used in the kriging calculations.**Kriging in presence of covariates: a note**: comments on the usage of the arguments*trend.l*and*trend.d*.- Generic tutorials
**A**: example of the basic steps for a simple geostatistical analysis.*traditional*geostatistical data analysis- Some commands for a
**standard geostatistical analysis:**illustrate the package syntax for exploratory analysis (including variograms), parameter estimation and kriging prediction. **An introduction to geoR**: web page with the main functionality of the package.`geoR`**Commands file**with contents shown during a pratical session during a short course on geostatistics.**A basic example**of a geostatistical analysis of a soil conductivity data-set using**R/geoR**.**Yet another example**of the steps of a data analysis.- More on Bayesian analysis
**An example of Bayesian prediction**: Illustrates the usage of the geoR's function*krige.bayes()*- Further examples for the function
`krige.bayes`are given in the file*examples.krige.bayes.R* - Bivariate geostatistical data
**Simulating bivariate proccess**:**Inference and prediction for the bivariate Gaussian common component model**:- Other data-sets (in addition to the ones already included in the package)
- files with extension
**.dat**are the data files. - files with extension
**.txt**are files with a brief explanation on the data. - geoR and sp: converting data formats
- Other tutorials
**An introduction to geoRglm**: web page with the main aspects of the package**geoRglm**.**Simulating stochastic proccesses**: simulation routines to illustrate basic concepts of stochastic proccesses.

Typically there are two files corresponding to each data set:

paulojus AT ufpr.br Last modified: Tue Dec 16 12:03:26 BRST 2008