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

[Up] [Top]

Documentation for package ‘geospt’ version 0.5-0

Help Pages

geospt-package Spatial geostatistics; some geostatistical and radial basis functions, prediction and cross validation; design of optimal spatial sampling networks based on geostatistical modelling
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
criterio.cv Cross-validation summaries
Dis geospt internal function
est.variograms Variogram Estimator
geospt Spatial geostatistics; some geostatistical and radial basis functions, prediction and cross validation; design of optimal spatial sampling networks based on geostatistical modelling
graph.rbf graph that describes the behavior of the optimized parameter eta, associated with radial basis function
lalib Map of boundary enclosing La Libertad Research Center
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 generates a RMSPE value, result of cross validation leave-one-out
RBF.phi titulo RBF.phi
rbf.tcv 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