fields

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

Kriging surface estimate

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

Estimates key covariance parameters for a spatial process.

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

Maximum Likelihood estimates for some Matern covariance parameters.

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 - tools for spatial data

Fields internal and secondary functions

Fields supporting functions

Using MKrig for predicting on a grid.

fields - graphics hints

Testing fields functions

Response surface experiment ionizing a reagent

Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging.

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

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 (rho) and nugget standard deviation (sigma) parameters (e.g. lambda) over a many covariance models or covariance parameter values.

Maximizes likelihood for the process marginal variance (rho) and nugget standard deviation (sigma) parameters (e.g. lambda) over a many covariance models or covariance parameter values.

Mini triathlon results

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

Image plot for 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