Package: geospt 1.0-4

Ali Santacruz

geospt: Geostatistical Analysis and Design of Optimal Spatial Sampling Networks

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.

Authors:Carlos Melo <[email protected]>, Ali Santacruz, Oscar Melo <[email protected]>

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geospt.pdf |geospt.html✨
geospt/json (API)

# Install 'geospt' in R:

install.packages('geospt', repos = c('https://amsantac.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/amsantac/geospt/issues

Datasets:

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
ariari - Ariari Map.
ariprec - Data from climatic stations of the Ariari River
lalib - Map of boundary enclosing La Libertad Research Center
preci - Empirical data related to rainfall

On CRAN:

19 exports 4 stars 1.66 score 39 dependencies 1 dependents 1 mentions 30 scripts 349 downloads

Last updated 7 months agofrom:61758ff1d2. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 17 2024
R-4.5-win	NOTE	Sep 17 2024
R-4.5-linux	NOTE	Sep 17 2024
R-4.4-win	NOTE	Sep 17 2024
R-4.4-mac	NOTE	Sep 17 2024
R-4.3-win	NOTE	Sep 17 2024
R-4.3-mac	NOTE	Sep 17 2024

Exports:bestnet bp.with.outlier.label criteria.cv criterio.cv est.variograms extractFormula graph.idw graph.rbf idw.cv network.design pocket.plot rbf rbf.cv rbf.cv1 RBF.phi rbf.tcv samplePts seqPtsOptNet simPtsOptNet

Dependencies:abind class classInt DBI dotCall64 e1071 fields FNN genalg gsl gstat intervals KernSmooth lattice limSolve lpSolve magrittr maps MASS minqa plyr proxy quadprog Rcpp rlang s2 sf sftime sgeostat sp spacetime spam stars TeachingDemos units viridisLite wk xts zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Geostatistical Analysis and Design of Optimal Spatial Sampling Networks	geospt-package geospt
Ariari Map.	ariari
Data from climatic stations of the Ariari River (Meta-Colombia Department)	ariprec
Generate a SpatialPoints object corresponding to the best result obtained in an optimized network	bestnet
geospt internal function	bp.with.outlier.label
Soil organic carbon database at a sampling depth of 0-10 cm	COSha10
Map of total soil carbon stock (t/ha) at 0-10 cm depth	COSha10map
Soil organic carbon database at a sampling depth of 0-30 cm	COSha30
Map of total soil carbon stock (t/ha) at 0-30 cm depth	COSha30map
Cross-validation summaries	criteria.cv
Cross-validation summaries	criterio.cv
Variogram Estimator	est.variograms
geospt internal function	extractFormula
Graph that describes the behavior of the optimized _p_ smoothing parameter.	graph.idw
Graph that describes the behavior of the optimized _eta_ and _rho_ parameters, associated with a radial basis function	graph.rbf
idw cross validation leave-one-out	idw.cv
Map of boundary enclosing La Libertad Research Center	lalib
Generating 'AKSE' associated with a conditioned network design	network.design
graphs the probability or standardized variance in the directions north-south or east-west	pocket.plot
Empirical data related to rainfall	preci
gaussian, exponential, trigonometric, thin plate spline, inverse multiquadratic, and multiquadratic radial basis function prediction	rbf
rbf cross validation leave-one-out	rbf.cv
Generates a RMSPE value, result of cross validation leave-one-out	rbf.cv1
radial basis function evaluation	RBF.phi
table of rbf cross validation, leave-one-out	rbf.tcv
sample _n_ point locations in (or on) a spatial object	samplePts
Design of optimal sampling networks through the sequential points method	seqPtsOptNet
Design of optimal sampling networks through the simultaneous points method	simPtsOptNet