Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

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Documentation for package ‘geospt’ version 1.0-4

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geospt-package Geostatistical Analysis and Design of Optimal Spatial Sampling Networks
ariari Ariari Map.
ariprec Data from climatic stations of the Ariari River (Meta-Colombia Department)
bestnet Generate a SpatialPoints object corresponding to the best result obtained in an optimized network
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
criteria.cv Cross-validation summaries
criterio.cv Cross-validation summaries
est.variograms Variogram Estimator
extractFormula geospt internal function
geospt Geostatistical Analysis and Design of Optimal Spatial Sampling Networks
graph.idw Graph that describes the behavior of the optimized _p_ smoothing parameter.
graph.rbf Graph that describes the behavior of the optimized _eta_ and _rho_ parameters, associated with a radial basis function
idw.cv idw cross validation leave-one-out
lalib Map of boundary enclosing La Libertad Research Center
network.design Generating 'AKSE' associated with a conditioned network design
pocket.plot graphs the probability or standardized variance in the directions north-south or east-west
preci Empirical data related to rainfall
rbf gaussian, exponential, trigonometric, thin plate spline, inverse multiquadratic, and multiquadratic radial basis function prediction
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.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 method
simPtsOptNet Design of optimal sampling networks through the simultaneous points method