Tutorials on the usage of the package geoR
- 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 traditional geostatistical data analysis:
example of the basic steps for a simple geostatistical 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
- Further examples for the function krige.bayes are given in the file
- 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)
Data this is a directory with data-sets used in some of the tutorials.
Typically there are two files corresponding to each data set:
- 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
Converting kriging results to SpatialGridDataFrame and SpatialPixelsDataFrame 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.
paulojus AT ufpr.br
Last modified: Tue Dec 16 12:03:26 BRST 2008