Analysis of Geostatistical Data
Image, Contour or Perspective Plot of Simulated Gaussian Random Field
Plots Results of the Predictive Distribution
Image or Perspective Plot with Kriging Results
Converts an Object to the Class "geodata"
Box-Cox transformation for geodata objects
The Box-Cox Transformed Normal Distribution
Parameter Estimation for the Box-Cox Transformation
Geometric Anisotropy Correction
Operations on Coordinates
Computes Value of the Covariance Function
Locates duplicated coordinates
Interactive Variogram Estimation
Defunct Functions in the Package geoR
geoR internal functions
Computes global variance
Simulation of Gaussian Random Fields
Plots Sample from Posterior Distributions
The (Scaled) Inverse Chi-Squared Distribution
Jitters (duplicated) coordinates.
Bayesian Analysis for Gaussian Geostatistical Models
Spatial Prediction -- Conventional Kriging
Computes kriging weights
Spatial Prediction -- Conventional Kriging
Add a legend to a image with kriging results
Likelihood Based Parameter Estimation for Gaussian Random Fields
Fits the bivariate Gaussian common component geostatistical model
Adds a Bayesian Estimate of the Variogram to a Plot
Adds Envelopes Lines to a Variogram Plot
Line with a Empirical Variogram
Lines with True Variogram for Simulated Data
Adds a Variogram Line to a Variogram Plot
Adds a Line with a Variogram Model to a Variogram Plot
Adds a Line with a Fitted Variogram Model to a Variogram Plot
Select prediction locations inside borders
Log-Likelihood for a Gaussian Random Field
Computer Values of the Matern Correlation Function
Lists names of the key elements of a geodata object
Near location to a point
Adapts nlm for Constraints in the Parameter Values
Defines output options for prediction functions
Set limits for the parameter values
Exploratory Geostatistical Plots
Plots Variograms for Simulated Data
Plots Prior and/or Posterior Distributions
Plots Profile Likelihoods
Plot Directional Variograms
Plot Empirical Variogram
Plot Cross-Validation Results
Plots Spatial Locations and Data Values
Coordinates of Points Inside a Polygon
Pratical range for correlation functions
Generates a 2D Prediction Grid
Prediction for the bivariate Gaussian common component geostatistical ...
Prints an summary of of the output from likfitBGCCM.
Computes Profile Likelihoods
Reads and Converts Data to geoR Format
Sampling from geodata objects
Samples from the posterior distribution
Sample the prior distribution
Sets Limits to Scale Plots
Summary statistics from predictive distributions
Selects a Subarea from a Geodata Object
Method for subsetting geodata objects
Summaries for geodata object
Summarizes Parameter Estimation Results for Gaussian Random Fields
Summarize Results of Variogram Estimation
Builds the Trend Matrix
Computes Covariance Matrix and Related Results
Covariance matrix for the bivariate Gaussian common component geostati...
Variogram Based Parameter Estimation
Envelops for Empirical Variograms Based on Permutation
Envelops for Empirical Variograms Based on Model Parameters
Compute Empirical Variograms
Computes Directional Variograms
Wrappers for the C functions used in geoR
Cross-validation by kriging
Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.