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geospt (version 0.4-9)

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

0.4-9

License

GPL (>= 2)

Maintainer

Al� Santacruz

Last Published

April 19th, 2012

Functions in geospt (0.4-9)

rbf.tcv

rbf cross validation, leave-one-out
RBF.phi

RBF.phi
pocket.plot

graphs the probability or standardized variance in the directions north-south or east-west
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
lalib

Map of boundary enclosing La Libertad Research Center
COSha10

Soil organic carbon database at a sampling depth of 0-10 cm
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
COSha10map

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

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

Empirical data related to rainfall
COSha30map

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

Design of optimal sampling networks through the sequential points method
graph.rbf

graph that describes the behavior of the optimized parameter sigma, associated with radial basis function
simPtsOptNet

Design of optimal sampling networks through the simultaneous points method
criterio.cv

Cross-validation summaries
est.variograms

Variogram Estimator
rbf

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