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geospt (version 1.0-1)

Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

Description

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.

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Version

Install

install.packages('geospt')

Monthly Downloads

246

Version

1.0-1

License

GPL (>= 2)

Maintainer

Al� Santacruz

Last Published

February 9th, 2015

Functions in geospt (1.0-1)

RBF.phi

radial basis function evaluation
samplePts

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

Map of boundary enclosing La Libertad Research Center
rbf.cv1

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

geospt internal function
rbf.cv

rbf cross validation leave-one-out
preci

Empirical data related to rainfall
network.design

Generating ASEPE associated with a conditioned network design
COSha30

Soil organic carbon database at a sampling depth of 0-30 cm
geospt-package

Geostatistical Analysis and Design of Optimal Spatial Sampling Networks
COSha30map

Map of total soil carbon stock (t/ha) at 0-30 cm depth
est.variograms

Variogram Estimator
criterio.cv

Cross-validation summaries
seqPtsOptNet

Design of optimal sampling networks through the sequential points method
bp.with.outlier.label

geospt internal function
COSha10map

Map of total soil carbon stock (t/ha) at 0-10 cm depth
COSha10

Soil organic carbon database at a sampling depth of 0-10 cm
simPtsOptNet

Design of optimal sampling networks through the simultaneous points method
pocket.plot

graphs the probability or standardized variance in the directions north-south or east-west
graph.rbf

Graph that describes the behavior of the optimized eta and rho parameters, associated with a radial basis function
rbf

gaussian, exponential, trigonometric, thin plate spline, inverse multiquadratic, and multiquadratic radial basis function prediction
bestnet

Generate a SpatialPoints object corresponding to the best result obtained in an optimized network
rbf.tcv

table of rbf cross validation, leave-one-out