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geospt (version 1.0-0)

Spatial geostatistics; some geostatistical and radial basis functions, prediction and cross validation; design of optimal spatial sampling networks based on geostatistical modelling

Description

This package contains 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

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Version

Install

install.packages('geospt')

Monthly Downloads

246

Version

1.0-0

License

GPL (>= 2)

Maintainer

Al� Santacruz

Last Published

October 8th, 2014

Functions in geospt (1.0-0)

RBF.phi

radial basis function evaluation
COSha30map

Map of total soil carbon stock (t/ha) at 0-30 cm depth
COSha10

Soil organic carbon database at a sampling depth of 0-10 cm
pocket.plot

graphs the probability or standardized variance in the directions north-south or east-west
bp.with.outlier.label

geospt internal function
est.variograms

Variogram Estimator
geospt-package

Spatial geostatistics; some geostatistical and radial basis functions, prediction and cross validation; design of optimal spatial sampling networks based on geostatistical modelling
COSha30

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

Empirical data related to rainfall
criterio.cv

Cross-validation summaries
extractFormula

geospt internal function
rbf.tcv

table of rbf cross validation, leave-one-out
rbf

gaussian, exponential, trigonometric, thin plate spline, inverse multiquadratic, and multiquadratic radial basis function prediction
rbf.cv1

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

rbf cross validation leave-one-out
network.design

Generating ASEPE associated with a conditioned network design
graph.rbf

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

Design of optimal sampling networks through the simultaneous points method
lalib

Map of boundary enclosing La Libertad Research Center
seqPtsOptNet

Design of optimal sampling networks through the sequential points method
COSha10map

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

Generate a SpatialPoints object corresponding to the best result obtained in an optimized network
samplePts

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