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npsp (version 0.3-6)

Nonparametric spatial (geo)statistics

Description

Multidimensional nonparametric spatio-temporal geostatistics. S3 classes and methods for multidimensional: gridded data, linear binning, local polynomial kernel regression, density and variogram estimation. Nonparametric methods for trend and/or variogram inferences.

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Version

Install

install.packages('npsp')

Monthly Downloads

257

Version

0.3-6

License

GPL (>= 2)

Maintainer

Ruben FernandezCasal

Last Published

October 20th, 2014

Functions in npsp (0.3-6)

Covariance values

Evaluate a semivariogram model

Local polynomial estimation

Fit an isotropic Shapiro-Botha variogram model

Fast linear interpolation of a regular grid

Scatter plot with a color scale

Total and partial CPU time used

Coefficients of an extended Shapiro-Botha variogram model

Wolfcamp aquifer data

R Graphics for gridded data

Earthquake data

Grid parameters (S3 class "grid.par")

(spatial) coordinates

Plot a semivariogram object

Gridded data (S3 class "data.grid")

Cross-validation methods for bandwidth selection

coordinate values

Local polynomial estimation of the semivariogram

Linear binning of semivariances

Define a (semi)variogram model

Utilities for plotting with a color scale

Interface to package "geoR"

Interface to package "gstat"

local polynomial density estimation

Linear binning for density estimation

Perspective plot with a color scale

Discretization nodes of a Shapiro-Botha variogram model

npsp internal and secondary functions

Image plot with a color scale

npsp: Nonparametric spatial (geo)statistics

Covariance matrix