Package: npsp 0.7-13

Ruben Fernandez-Casal

npsp: Nonparametric Spatial Statistics

Multidimensional nonparametric spatial (spatio-temporal) geostatistics. S3 classes and methods for multidimensional: linear binning, local polynomial kernel regression (spatial trend estimation), density and variogram estimation. Nonparametric methods for simultaneous inference on both spatial trend and variogram functions (for spatial processes). Nonparametric residual kriging (spatial prediction). For details on these methods see, for example, Fernandez-Casal and Francisco-Fernandez (2014) <doi:10.1007/s00477-013-0817-8> or Castillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.

Authors:Ruben Fernandez-Casal [aut, cre]

npsp_0.7-13.tar.gz
npsp_0.7-13.tar.gz(r-4.5-noble)npsp_0.7-13.tar.gz(r-4.4-noble)
npsp_0.7-13.tgz(r-4.4-emscripten)
npsp.pdf |npsp.html
npsp/json (API)
NEWS

# Install 'npsp' in R:
install.packages('npsp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rubenfcasal/npsp/issues

Pkgdown:https://rubenfcasal.github.io

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:

3.81 score 64 scripts 236 downloads 56 exports 6 dependencies

Last updated 10 months agofrom:5c890dc48f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-linux-x86_64OKNov 16 2024

Exports:.cpu.time.inias.bin.dataas.bin.denas.data.gridas.spas.variogramas.variomodelas.vgmbin.denbinningcoordscoordvaluescovarcpu.timedata.griddisc.sbfitsvar.sb.isogrid.parh.cvhcv.datahot.colorsinterpis.data.gridjet.colorskappasbkriging.simplelocpollocpolhcvmasknp.dennp.fitgeonp.geonp.krigingnp.svarnp.svarisonp.svariso.corrnp.svariso.hcvnpsp.tolerancerulerule.binningrule.svarscattersplotscolorsimagesperspsplotspointssvsvar.binsvar.gridsvarisosvarmodsvarmod.sb.isosvarmodelsvarcovvgm.tab.svarmod

Dependencies:dotCall64latticequadprogRcppspspam

Introduction to the npsp Package

Rendered fromnpsp.Rmdusingknitr::rmarkdownon Nov 16 2024.

Last update: 2023-05-03
Started: 2019-07-02

Kriging with gstat

Rendered fromkrigstat.Rmdusingknitr::knitron Nov 16 2024.

Last update: 2024-02-20
Started: 2019-07-02

Readme and manuals

Help Manual

Help pageTopics
npsp: Nonparametric spatial (geo)statisticsnpsp-package npsp
Wolfcamp aquifer dataaquifer
data.grid-class methodsas.data.frame.data.grid as.data.grid as.data.grid.SpatialGridDataFrame
Convert npsp object to sp objectas.sp as.sp.data.grid as.sp.grid.par
Linear binning for density estimationas.bin.den as.bin.den.bin.den as.bin.den.data.grid bin.den bin.den-class
Linear binningas.bin.data as.bin.data.bin.data as.bin.data.data.grid as.bin.data.SpatialGridDataFrame bin.data bin.data-class binning
(spatial) coordinatescoords coords.data.grid coords.grid.par
Coordinate valuescoordvalues coordvalues.data.grid coordvalues.grid.par
Covariance valuescovar covar.np.svar covar.svarmod
Total and partial CPU time usedcpu.time
Gridded data (S3 class "data.grid")data.grid data.grid-class
Discretization nodes of a Shapiro-Botha variogram modeldisc.sb
Earthquake dataearthquakes
Fit an isotropic Shapiro-Botha variogram modelfitsvar fitsvar-class fitsvar.sb.iso
Grid parameters (S3 class "grid.par")grid.par grid.par-class
Cross-validation methods for bandwidth selectionh.cv h.cv.bin.data h.cv.bin.den h.cv.svar.bin hcv.data
Fast linear interpolation of a regular gridinterp interp.data.grid interp.grid.par predict.locpol.bin predict.np.den
Coefficients of an extended Shapiro-Botha variogram modelkappasb
Local polynomial estimationlocpol locpol.bin locpol.bin-class locpol.bin.data locpol.bin.den locpol.default locpol.svar.bin locpolhcv
Mask methodsmask mask.bin.data mask.bin.den mask.data.grid mask.default mask.locpol.bin
Local polynomial density estimationnp.den np.den-class np.den.bin.data np.den.bin.den np.den.default np.den.svar.bin
Fit a nonparametric geostatistical modelnp.fitgeo np.fitgeo.default np.fitgeo.fitgeo np.fitgeo.locpol.bin
Nonparametric geostatistical model (S3 class "np.geo")fitgeo-class np.geo np.geo-class,
Nonparametric (residual) krigingkriging kriging.simple np.kriging np.kriging.default np.kriging.np.geo
Local polynomial estimation of the semivariogramiso.np.svar np.svar np.svar-class np.svar.default np.svar.svar.bin np.svariso np.svariso.corr np.svariso.hcv
Interface to package "geoR"as.variogram as.variogram.np.svar as.variogram.svar.bin as.variomodel as.variomodel.svarmod npsp-geoR variogram variomodel
Interface to package "gstat"as.vgm as.vgm.sb.iso as.vgm.svarmod as.vgm.variomodel npsp-gstat vgm.tab.svarmod
npsp Tolerancesnpsp.tolerance
Plot a nonparametric geostatistical modelplot.fitgeo
Precipitation dataprecipitation
R Graphics for gridded datacontour.data.grid image.data.grid persp.data.grid rgraphics
npsp Rulesrule rule.binning rule.binning.default rule.svar rule.svar.bin.den rule.svar.default
Exploratory scatter plotsscattersplot scattersplot.default scattersplot.SpatialPointsDataFrame
Image plot with a color scaleplot.np.den simage simage.data.grid simage.default
Perspective plot with a color scalespersp spersp.data.grid spersp.default
Utilities for plotting with a color scalehot.colors jet.colors scolor splot
Scatter plot with a color scalespoints spoints.data.grid spoints.default spoints.SpatialPointsDataFrame
Evaluate a semivariogram modelsv sv.default sv.sb.iso sv.svar.grid sv.svarmod
Linear binning of semivariancesiso.svar svar.bin svar.bin-class svar.bin.default svariso
Discretize a (semi)variogram modelsvar.grid svar.grid.svarmod
Plot a semivariogram objectplot.fitsvar plot.np.svar plot.svar.bin svar.plot
Define a (semi)variogram modelsb.iso-class svarmod svarmod.sb.iso svarmodels
Covariance matrixvarcov varcov.isotropic varcov.np.svar