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
Simulated global CO2 observations
Evaluate covariance over upper triangle of distance matrix
Covariance functions
FORTRAN subroutines used in fields functions
Smoother (or "hat") matrix relating predicted values to the dependent (Y) values.
Kriging surface estimate
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).
Thin plate spline regression
Plot of the US with state boundaries
Outline of coterminous US and states.
Wendland family of covariance functions and supporting numerical functions
Carbon emissions and demographic covariables by country for 1999.
Adds an image to an existing plot.
Adds arrows to a plot
Creates image from irregular x,y,z
Creates an "surface" object from grid values.
boxplot
Boxplots for conditional distribution
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.
Fields internal and secondary functions
Fields supporting functions
fields - tools for spatial data
Using MKrig for predicting on a grid.
fields - graphics hints
Testing fields functions
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.
Kernel smoother for irregular 2-d data
Some simple functions for subsetting images
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals.
Fast bilinear interpolator from a grid.
Gray image of John Lennon.
"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.
Mini triathlon results
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.
Plots a surface
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.
Print kriging fit results.
Adds a "push pin" to an existing 3-d plot
Quantile or Robust spline regression
Useful plots for visualizing irregular spatial data.
Experiment studying an appetite supressant in rats.
Euclidean distance matrix or vector
Great circle distance matrix or vector
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.
Specify a panel of plots
Conditional simulation of a spatial process
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields
Kernel smoother for irregular 2-d data
Conversion of formats for sparse matrices
Estimates a spatial process model.
Cubic spline interpolation
Cubic smoothing spline regression
Calculate summary statistics
Bins data and finds some summary statistics.
Summary for Krig or spatialProcess estimated models.
Summarizes a netCDF file handle
Tests if function supports a given argument
Plots a surface and contours
Some useful color tables for images and tools to handle them.
Linear transformation
Traditional or robust variogram methods for spatial data
Computes a variogram from an image
Plot of the world
Draw a vertical line
Draw horizontal lines