Data frame of the effect of buffer compositions on DNA strand displacement amplification. A 4-d regression data set with with replication. This is a useful test data set for exercising function fitting methods.
Monthly surface meterology for Colorado 1895-1997
Evaluate covariance over upper triangle of distance matrix
FORTRAN subroutines used in fields functions
Smoother (or "hat") matrix relating predicted values to the dependent (Y) values.
Basic linear algebra utilities and other computations supporting the Krig function.
Default function to create fixed matrix part of spatial process model.
Collapse repeated spatial locations into unique locations
Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging.
Observed North American summer precipitation from the historical climate network.
Robust and Quantile smoothing using a thin-plate spline
3-hour precipitation fields from a regional climate model
Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m).
Wendland family of covariance functions and supporting numerical functions
Carbon emissions and demographic covariables by country for 1999.
Creates an "surface" object from grid values.
Adds color scale strips to an existing plot.
Convert Matrix from Compact Vector to Standard Form
Computes Space-Filling "Coverage" designs using Swapping Algorithm
Perspective plot draped with colors in the facets.
Add a shaded the region between two functions to an existing plot
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family and stationary covariances.
Response surface experiment ionizing a reagent
Some simple functions for working with gridded data and the grid format (grid.list) used in fields.
Exponential, Matern and general covariance functions for 2-d gridded locations.
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals.
Some simple functions for subsetting images
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function.
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values.
Weights to predict off grid locations from a rectangular grid using nearest neighbors and Kriging.
Data set of ozone measurements at 20 Chicago monitoring stations.
Daily 8-hour ozone averages for sites in the Midwest
Diagnostic and summary plots of a Kriging, spatialProcess or spline object.
Image plot for cells that are irregular quadrilaterals.
Evaluation of Krig spatial process estimate.
Standard errors of predictions for Krig spatial process estimate
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions.
Adds a "push pin" to an existing 3-d plot
Useful plots for visualizing irregular spatial data.
Experiment studying an appetite supressant in rats.
Information objects that register C and FORTRAN functions.
Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments.
Conditional simulation of a spatial process
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields
Conversion of formats for sparse matrices
Bins data and finds some summary statistics.
Summary for Krig or spatialProcess estimated models.
Tests if function supports a given argument
Some useful color tables for images and tools to handle them.
Traditional or robust variogram methods for spatial data