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geospt1.0-6 package

Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

19 available

bestnet

Generate a SpatialPoints object corresponding to the best result obtai...

bp.with.outlier.label

geospt internal function

criteria.cv

Cross-validation summaries

est.variograms

Variogram Estimator

extractFormula

geospt internal function

geospt-package

Geostatistical Analysis and Design of Optimal Spatial Sampling Network...

graph.idw

Graph that describes the behavior of the optimized p smoothing par...

graph.rbf

Graph that describes the behavior of the optimized eta and rho...

idw.cv

idw cross validation leave-one-out

network.design

Generating AKSE associated with a conditioned network design

pocket.plot

graphs the probability or standardized variance in the directions nort...

rbf.cv

rbf cross validation leave-one-out

rbf.cv1

Generates a RMSPE value, result of cross validation leave-one-out

RBF.phi

radial basis function evaluation

rbf

gaussian, exponential, trigonometric, thin plate spline, inverse multi...

rbf.tcv

table of rbf cross validation, leave-one-out

samplePts

sample n point locations in (or on) a spatial object

seqPtsOptNet

Design of optimal sampling networks through the sequential points meth...

simPtsOptNet

Design of optimal sampling networks through the simultaneous points me...

Download source packageRead PDF manual

Estimation of the variogram through trimmed mean, radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, pocket plot, and design of optimal sampling networks through sequential and simultaneous points methods.

  • Maintainer: Ali Santacruz
  • License: GPL (>= 2)
  • Last published: 2025-06-21

Useful links

  • https://github.com/amsantac/geospt/issues
  • https://github.com/amsantac/geospt