geospt: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks
Version 1.0-1

A set of functions for: 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

AuthorCarlos Melo <cmelo@udistrital.edu.co>, Al Santacruz, Oscar Melo <oomelom@unal.edu.co>
Date of publication2014-10-08 21:21:59
MaintainerAl Santacruz <amsantac@unal.edu.co>
LicenseGPL (>= 2)
Version1.0-1
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("geospt", repos="http://R-Forge.R-project.org")

Getting started

Package overview

Popular man pages

extractFormula: geospt internal function
geospt-package: Geostatistical Analysis and Design of Optimal Spatial...
preci: Empirical data related to rainfall
rbf: gaussian, exponential, trigonometric, thin plate spline,...
rbf.cv: rbf cross validation leave-one-out
rbf.cv1: Generates a RMSPE value, result of cross validation...
rbf.tcv: table of rbf cross validation, leave-one-out
See all...

All man pages Function index File listing

Man pages

bestnet: Generate a SpatialPoints object corresponding to the best...
bp.with.outlier.label: geospt internal function
COSha10: Soil organic carbon database at a sampling depth of 0-10 cm
COSha10map: Map of total soil carbon stock (t/ha) at 0-10 cm depth
COSha30: Soil organic carbon database at a sampling depth of 0-30 cm
COSha30map: Map of total soil carbon stock (t/ha) at 0-30 cm depth
criterio.cv: Cross-validation summaries
est.variograms: Variogram Estimator
extractFormula: geospt internal function
geospt-package: Geostatistical Analysis and Design of Optimal Spatial...
graph.rbf: Graph that describes the behavior of the optimized _eta_ and...
lalib: Map of boundary enclosing La Libertad Research Center
network.design: Generating 'ASEPE' associated with a conditioned network...
pocket.plot: graphs the probability or standardized variance in the...
preci: Empirical data related to rainfall
rbf: gaussian, exponential, trigonometric, thin plate spline,...
rbf.cv: rbf cross validation leave-one-out
rbf.cv1: Generates a RMSPE value, result of cross validation...
RBF.phi: radial basis function evaluation
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...
simPtsOptNet: Design of optimal sampling networks through the simultaneous...

Functions

COSha10 Man page
COSha10map Man page
COSha30 Man page
COSha30map Man page
RBF.phi Man page
bestnet Man page Source code
bp.with.outlier.label Man page Source code
criterio.cv Man page
est.variograms Man page
extractFormula Man page
geospt Man page
geospt-package Man page
graph.rbf Man page
lalib Man page
network.design Man page
pocket.plot Man page
preci Man page
rbf Man page
rbf.cv Man page
rbf.cv1 Man page
rbf.tcv Man page
samplePts Man page Source code
seqPtsOptNet Man page Source code
simPtsOptNet Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/RBF.phi.R
R/bestnet.R
R/bp.with.outlier.label.R
R/criterio.cv.R
R/est.variograms.R
R/extractFormula.R
R/graph.rbf.R
R/network.design.r
R/pocket.plot.R
R/rbf.R
R/rbf.cv.R
R/rbf.cv1.R
R/rbf.tcv.R
R/samplePts.R
R/seqPtsOptNet.R
R/simPtsOptNet.R
data
data/COSha10.rda
data/COSha10map.rda
data/COSha30.rda
data/COSha30map.rda
data/lalib.rda
data/preci.rda
demo
demo/00Index
demo/geosptDemo.R
inst
inst/CITATION
man
man/COSha10.Rd
man/COSha10map.Rd
man/COSha30.Rd
man/COSha30map.Rd
man/RBF.phi.Rd
man/bestnet.Rd
man/bp.with.outlier.label.Rd
man/criterio.cv.Rd
man/est.variograms.Rd
man/extractFormula.Rd
man/geospt-package.Rd
man/graph.rbf.Rd
man/lalib.Rd
man/network.design.Rd
man/pocket.plot.Rd
man/preci.Rd
man/rbf.Rd
man/rbf.cv.Rd
man/rbf.cv1.Rd
man/rbf.tcv.Rd
man/samplePts.Rd
man/seqPtsOptNet.Rd
man/simPtsOptNet.Rd
geospt documentation built on May 21, 2017, 12:42 a.m.

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