R: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

# Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

## Documentation for package ‘geospt’ version 1.0-6

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

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
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