| 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 |