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geoR (version 1.1-5)
geoR - functions for geostatistical analysis
Description
Functions to perform geostatistical analysis including model-based methods
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Install
install.packages('geoR')
Monthly Downloads
5,656
Version
1.1-5
License
GPL Version 2 or later
Maintainer
Paulo Ribeiro Jr
Last Published
April 25th, 2025
Functions in geoR (1.1-5)
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image.grf
Image or Perspective Plot of Simulated Gaussian Random Field
set.coords.lims
Sets Limits to Scale Plots
matern
Computer Values of the Matern Correlation Function
ksline
Spatial Prediction -- Conventional Kriging
lines.krige.bayes
Add a (Bayesian) Estimated Variogram to a Plot
plot.geodata
Exploratory Geostatistical Plots
plot.grf
Plots Variograms for Simulated Data
cov.spatial
Computes Value of the Covariance Function
read.geodata
Reads and Converts Data to geoR Format
image.kriging
Image or Perspective Plot with Kriging Results
plot.proflik
Plots Profile Likelihoods
sample.prior
Samples from the prior
variog.mc.env
Envelops for Empirical Variograms Based on Permutation
proflik
Computes Profile Likelihoods
coords.aniso
Geometric Anisotropy Correction
geoRdefunct
Defunct Functions in the Package geoR
InvChisquare
The (Scaled) Inverse Chi-Squared Distribution
plot.xvalid
Plot Cross-Validation Results
lines.variogram
Line with a Empirical Variogram
plot.variogram
Plot Empirical Variogram
geoR.aux
geoR internal functions
nlmP
Adapts nlm for Constraints in the Parameter Values
variog.model.env
Envelops for Empirical Variograms Based on Model Parameters
BoxCox
Box-Cox transformation related functions
plot.variog4
Plot Directional Variograms
lines.variomodel
Line with a Variogram Model
as.geodata
Converts an Object to the Class "geodata"
varcov.spatial
Computes Covariance Matrix and Related Results
lines.grf
Lines with True Variogram for Simulated Data
grf
Simulation of Gaussian Random Fields
trend.spatial
Builds the Trend Matrix
plot.krige.bayes
Plots Prior and/or Posterior Distributions
sample.posterior
Samples from the posterior distribution
locations.inside
select prediction locations inside borders
summary.likGRF
Summarizes Parameter Estimation Results for Gaussian Random Fields
loglik.GRF
Log-Likelihood for a Gaussian Random Field
points.geodata
Plots Spatial Locations and Data Values
krige.conv
Spatial Prediction -- Conventional Kriging
statistics.predictive
Summary statistics from predictive distributions
output.control
Defines output options
variog
Compute Empirical Variograms
polygrid
Coordinates of Points Inside a Polygon
image.krige.bayes
Plots Results of the Predictive Distribution
variog4
Computes Directional Variograms
lines.variogram.envelope
Adds Envelopes Lines to a Variogram Plot
krige.bayes
Bayesian Analysis for Gaussian Geostatistical Models
legend.krige
Add a legend to a image with kriging results
hist.krige.bayes
Plots Sample from Posterior Distributions
likfit
Likelihood Based Parameter Estimation for Gaussian Random Fields
wrappers
Wrappers for the C functions used in geoR
variofit
Variogram Based Parameter Estimation
summary.variomodel
Summarize Results of Variogram Estimation
xvalid
Cross-validation using kriging
SIC
Spatial Interpolation Comparison data
parana
Rainfall Data from Parana State, Brasil
s100 and s121
Simulated Data-Sets which Illustrate the Usage of the Package geoR
wolfcamp
Wolfcamp Aquifer Data